{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "# **1. Essential Libraries**\n", "- **`transformers`, `datasets`, `accelerate`**: \n", " - Hugging Face libraries for working with pre-trained models (e.g., BERT, GPT, LLaMA), loading datasets, and accelerating training across CPUs/GPUs/TPUs.\n", "\n", "- **`torch`, `torchvision`, `torchaudio`**: \n", " - Core PyTorch libraries for building and training deep learning models involving text, images, and audio.\n", "\n", "- **`salesforce-lavis`**: \n", " - A framework for vision-language tasks like image captioning, visual question answering (VQA), and image-text retrieval using models like BLIP.\n", "\n", "- **`sentencepiece`**: \n", " - A tokenizer library used for multilingual NLP models such as T5, BART, and LLaMA for subword segmentation.\n", "\n", "- **`pdf2image`**: \n", " - Converts PDF pages into images, useful for image-based processing of PDFs.\n", "\n", "- **`pytesseract`**: \n", " - An OCR tool (based on Google Tesseract) that extracts text from images, useful for scanned PDFs or diagrams.\n", "\n", "- **`pdfplumber`**: \n", " - Extracts structured text, tables, and metadata from PDFs, ideal for document analysis and information retrieval.\n", "\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2025-04-06T06:07:59.401209Z", "iopub.status.busy": "2025-04-06T06:07:59.400898Z", "iopub.status.idle": "2025-04-06T06:11:34.441561Z", "shell.execute_reply": "2025-04-06T06:11:34.440749Z", "shell.execute_reply.started": "2025-04-06T06:07:59.401174Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.47.0)\n", "Collecting transformers\n", " Downloading transformers-4.51.0-py3-none-any.whl.metadata (38 kB)\n", "Requirement already satisfied: datasets in /usr/local/lib/python3.10/dist-packages (3.3.1)\n", "Collecting datasets\n", " Downloading datasets-3.5.0-py3-none-any.whl.metadata (19 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nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl (188.7 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m188.7/188.7 MB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m0:00:01\u001b[0m00:01\u001b[0m\n", "\u001b[?25hDownloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (21.1 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m70.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n", "\u001b[?25hDownloading nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (99 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.1/99.1 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hDownloading triton-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (253.1 MB)\n", "\u001b[2K 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collected packages: triton, nvidia-cusparselt-cu12, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, huggingface-hub, nvidia-cusolver-cu12, torch, torchaudio, transformers, torchvision, datasets, accelerate\n", " Attempting uninstall: nvidia-nvjitlink-cu12\n", " Found existing installation: nvidia-nvjitlink-cu12 12.6.85\n", " Uninstalling nvidia-nvjitlink-cu12-12.6.85:\n", " Successfully uninstalled nvidia-nvjitlink-cu12-12.6.85\n", " Attempting uninstall: nvidia-nccl-cu12\n", " Found existing installation: nvidia-nccl-cu12 2.23.4\n", " Uninstalling nvidia-nccl-cu12-2.23.4:\n", " Successfully uninstalled nvidia-nccl-cu12-2.23.4\n", " Attempting uninstall: nvidia-curand-cu12\n", " Found existing installation: nvidia-curand-cu12 10.3.7.77\n", " Uninstalling nvidia-curand-cu12-10.3.7.77:\n", " Successfully uninstalled nvidia-curand-cu12-10.3.7.77\n", " Attempting uninstall: nvidia-cufft-cu12\n", " Found existing installation: nvidia-cufft-cu12 11.3.0.4\n", " Uninstalling nvidia-cufft-cu12-11.3.0.4:\n", " Successfully uninstalled nvidia-cufft-cu12-11.3.0.4\n", " Attempting uninstall: nvidia-cuda-runtime-cu12\n", " Found existing installation: nvidia-cuda-runtime-cu12 12.6.77\n", " Uninstalling nvidia-cuda-runtime-cu12-12.6.77:\n", " Successfully uninstalled nvidia-cuda-runtime-cu12-12.6.77\n", " Attempting uninstall: nvidia-cuda-cupti-cu12\n", " Found existing installation: nvidia-cuda-cupti-cu12 12.6.80\n", " Uninstalling nvidia-cuda-cupti-cu12-12.6.80:\n", " Successfully uninstalled nvidia-cuda-cupti-cu12-12.6.80\n", " Attempting uninstall: nvidia-cublas-cu12\n", " Found existing installation: nvidia-cublas-cu12 12.6.4.1\n", " Uninstalling nvidia-cublas-cu12-12.6.4.1:\n", " Successfully uninstalled nvidia-cublas-cu12-12.6.4.1\n", " Attempting uninstall: nvidia-cusparse-cu12\n", " Found existing installation: nvidia-cusparse-cu12 12.5.4.2\n", " Uninstalling nvidia-cusparse-cu12-12.5.4.2:\n", " Successfully uninstalled nvidia-cusparse-cu12-12.5.4.2\n", " Attempting uninstall: nvidia-cudnn-cu12\n", " Found existing installation: nvidia-cudnn-cu12 9.6.0.74\n", " Uninstalling nvidia-cudnn-cu12-9.6.0.74:\n", " Successfully uninstalled nvidia-cudnn-cu12-9.6.0.74\n", " Attempting uninstall: huggingface-hub\n", " Found existing installation: huggingface-hub 0.29.0\n", " Uninstalling huggingface-hub-0.29.0:\n", " Successfully uninstalled huggingface-hub-0.29.0\n", " Attempting uninstall: nvidia-cusolver-cu12\n", " Found existing installation: nvidia-cusolver-cu12 11.7.1.2\n", " Uninstalling nvidia-cusolver-cu12-11.7.1.2:\n", " Successfully uninstalled nvidia-cusolver-cu12-11.7.1.2\n", " Attempting uninstall: torch\n", " Found existing installation: torch 2.5.1+cu121\n", " Uninstalling torch-2.5.1+cu121:\n", " Successfully uninstalled torch-2.5.1+cu121\n", " Attempting uninstall: torchaudio\n", " Found existing installation: torchaudio 2.5.1+cu121\n", " Uninstalling torchaudio-2.5.1+cu121:\n", " Successfully uninstalled torchaudio-2.5.1+cu121\n", " Attempting uninstall: transformers\n", " Found existing installation: transformers 4.47.0\n", " Uninstalling transformers-4.47.0:\n", " Successfully uninstalled transformers-4.47.0\n", " Attempting uninstall: torchvision\n", " Found existing installation: torchvision 0.20.1+cu121\n", " Uninstalling torchvision-0.20.1+cu121:\n", " Successfully uninstalled torchvision-0.20.1+cu121\n", " Attempting uninstall: datasets\n", " Found existing installation: datasets 3.3.1\n", " Uninstalling datasets-3.3.1:\n", " Successfully uninstalled datasets-3.3.1\n", " Attempting uninstall: accelerate\n", " Found existing installation: accelerate 1.2.1\n", " Uninstalling accelerate-1.2.1:\n", " Successfully uninstalled accelerate-1.2.1\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "fastai 2.7.18 requires torch<2.6,>=1.10, but you have torch 2.6.0 which is incompatible.\n", "pylibcugraph-cu12 24.10.0 requires pylibraft-cu12==24.10.*, but you have pylibraft-cu12 25.2.0 which is incompatible.\n", "pylibcugraph-cu12 24.10.0 requires rmm-cu12==24.10.*, but you have rmm-cu12 25.2.0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed accelerate-1.6.0 datasets-3.5.0 huggingface-hub-0.30.1 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-cusparselt-cu12-0.6.2 nvidia-nccl-cu12-2.21.5 nvidia-nvjitlink-cu12-12.4.127 nvidia-nvtx-cu12-12.4.127 torch-2.6.0 torchaudio-2.6.0 torchvision-0.21.0 transformers-4.51.0 triton-3.2.0\n", "Collecting salesforce-lavis\n", " Downloading salesforce_lavis-1.0.2-py3-none-any.whl.metadata (18 kB)\n", "Collecting contexttimer (from salesforce-lavis)\n", " Downloading contexttimer-0.3.3.tar.gz (4.9 kB)\n", " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", "Collecting decord (from salesforce-lavis)\n", " Downloading decord-0.6.0-py3-none-manylinux2010_x86_64.whl.metadata (422 bytes)\n", "Requirement already satisfied: einops>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (0.8.0)\n", "Collecting fairscale==0.4.4 (from salesforce-lavis)\n", " Downloading fairscale-0.4.4.tar.gz (235 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m235.4/235.4 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n", "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n", " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", "Collecting ftfy (from salesforce-lavis)\n", " Downloading ftfy-6.3.1-py3-none-any.whl.metadata (7.3 kB)\n", "Collecting iopath (from salesforce-lavis)\n", " Downloading iopath-0.1.10.tar.gz (42 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.2/42.2 kB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", "Requirement already satisfied: ipython in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (7.34.0)\n", "Requirement already satisfied: omegaconf in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (2.3.0)\n", "Collecting opencv-python-headless==4.5.5.64 (from salesforce-lavis)\n", " Downloading opencv_python_headless-4.5.5.64-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)\n", "Collecting opendatasets (from salesforce-lavis)\n", " Downloading opendatasets-0.1.22-py3-none-any.whl.metadata (9.2 kB)\n", "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (24.2)\n", "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (2.2.3)\n", "Requirement already satisfied: plotly in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (5.24.1)\n", "Collecting pre-commit (from salesforce-lavis)\n", " Downloading pre_commit-4.2.0-py2.py3-none-any.whl.metadata (1.3 kB)\n", "Collecting pycocoevalcap (from salesforce-lavis)\n", " Downloading pycocoevalcap-1.2-py3-none-any.whl.metadata (3.2 kB)\n", "Requirement already satisfied: pycocotools in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (2.0.8)\n", "Collecting python-magic (from salesforce-lavis)\n", " Downloading python_magic-0.4.27-py2.py3-none-any.whl.metadata (5.8 kB)\n", "Requirement already satisfied: scikit-image in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (0.25.0)\n", "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (0.2.0)\n", "Requirement already satisfied: spacy in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (3.7.5)\n", "Collecting streamlit (from salesforce-lavis)\n", " Downloading streamlit-1.44.1-py3-none-any.whl.metadata (8.9 kB)\n", "Collecting timm==0.4.12 (from salesforce-lavis)\n", " Downloading timm-0.4.12-py3-none-any.whl.metadata (30 kB)\n", "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (2.6.0)\n", "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (0.21.0)\n", "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (4.67.1)\n", "Collecting transformers<4.27,>=4.25.0 (from salesforce-lavis)\n", " Downloading transformers-4.26.1-py3-none-any.whl.metadata (100 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m100.3/100.3 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hCollecting webdataset (from salesforce-lavis)\n", " Downloading webdataset-0.2.111-py3-none-any.whl.metadata (15 kB)\n", "Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (from salesforce-lavis) (0.45.1)\n", "Requirement already satisfied: numpy>=1.21.2 in /usr/local/lib/python3.10/dist-packages (from opencv-python-headless==4.5.5.64->salesforce-lavis) (1.26.4)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->salesforce-lavis) (3.17.0)\n", "Requirement already satisfied: typing-extensions>=4.10.0 in 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tokenizers\n", " Found existing installation: tokenizers 0.21.0\n", " Uninstalling tokenizers-0.21.0:\n", " Successfully uninstalled tokenizers-0.21.0\n", " Attempting uninstall: transformers\n", " Found existing installation: transformers 4.51.0\n", " Uninstalling transformers-4.51.0:\n", " Successfully uninstalled transformers-4.51.0\n", " Attempting uninstall: timm\n", " Found existing installation: timm 1.0.12\n", " Uninstalling timm-1.0.12:\n", " Successfully uninstalled timm-1.0.12\n", " Attempting uninstall: opencv-python-headless\n", " Found existing installation: opencv-python-headless 4.10.0.84\n", " Uninstalling opencv-python-headless-4.10.0.84:\n", " Successfully uninstalled opencv-python-headless-4.10.0.84\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "albucore 0.0.19 requires opencv-python-headless>=4.9.0.80, but you have opencv-python-headless 4.5.5.64 which is incompatible.\n", "albumentations 1.4.20 requires opencv-python-headless>=4.9.0.80, but you have opencv-python-headless 4.5.5.64 which is incompatible.\n", "kaggle-environments 1.16.11 requires transformers>=4.33.1, but you have transformers 4.26.1 which is incompatible.\n", "sentence-transformers 3.3.1 requires transformers<5.0.0,>=4.41.0, but you have transformers 4.26.1 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed braceexpand-0.1.7 cfgv-3.4.0 contexttimer-0.3.3 decord-0.6.0 distlib-0.3.9 fairscale-0.4.4 ftfy-6.3.1 identify-2.6.9 iopath-0.1.10 nodeenv-1.9.1 opencv-python-headless-4.5.5.64 opendatasets-0.1.22 portalocker-3.1.1 pre-commit-4.2.0 pycocoevalcap-1.2 pydeck-0.9.1 python-magic-0.4.27 salesforce-lavis-1.0.2 streamlit-1.44.1 timm-0.4.12 tokenizers-0.13.3 transformers-4.26.1 virtualenv-20.30.0 webdataset-0.2.111\n", "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.2.0)\n", "Requirement already satisfied: pdf2image in /usr/local/lib/python3.10/dist-packages (1.17.0)\n", "Requirement already satisfied: pytesseract in /usr/local/lib/python3.10/dist-packages (0.3.13)\n", "Collecting pdfplumber\n", " Downloading pdfplumber-0.11.6-py3-none-any.whl.metadata (42 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.8/42.8 kB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (from pdf2image) (11.0.0)\n", "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.10/dist-packages (from pytesseract) (24.2)\n", "Collecting pdfminer.six==20250327 (from pdfplumber)\n", " Downloading pdfminer_six-20250327-py3-none-any.whl.metadata (4.1 kB)\n", "Collecting pypdfium2>=4.18.0 (from pdfplumber)\n", " Downloading pypdfium2-4.30.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (48 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m48.2/48.2 kB\u001b[0m \u001b[31m3.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: charset-normalizer>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from pdfminer.six==20250327->pdfplumber) (3.4.1)\n", "Requirement already satisfied: cryptography>=36.0.0 in /usr/local/lib/python3.10/dist-packages (from pdfminer.six==20250327->pdfplumber) (44.0.1)\n", "Requirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.10/dist-packages (from cryptography>=36.0.0->pdfminer.six==20250327->pdfplumber) (1.17.1)\n", "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.12->cryptography>=36.0.0->pdfminer.six==20250327->pdfplumber) (2.22)\n", "Downloading pdfplumber-0.11.6-py3-none-any.whl (60 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.2/60.2 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hDownloading pdfminer_six-20250327-py3-none-any.whl (5.6 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.6/5.6 MB\u001b[0m \u001b[31m59.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n", "\u001b[?25hDownloading pypdfium2-4.30.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.9/2.9 MB\u001b[0m \u001b[31m93.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hInstalling collected packages: pypdfium2, pdfminer.six, pdfplumber\n", "Successfully installed pdfminer.six-20250327 pdfplumber-0.11.6 pypdfium2-4.30.1\n" ] } ], "source": [ "!pip install transformers datasets accelerate torch torchvision torchaudio --upgrade\n", "!pip install salesforce-lavis\n", "!pip install sentencepiece\n", "!pip install pdf2image pytesseract pdfplumber\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# ****2. Upgrading Transformers & Installing Optimization Tools****\n", "\n", "\n", "- **`!pip install --upgrade transformers accelerate bitsandbytes sentencepiece`** \n", " - **`transformers`**: Upgrades to the latest version of Hugging Face's library for state-of-the-art language models (e.g., BERT, GPT, LLaMA). \n", " - **`accelerate`**: Speeds up training and inference on multi-GPU/TPU setups with minimal code changes. \n", " - **`bitsandbytes`**: A lightweight CUDA library for 8-bit and 4-bit quantization, essential for running large models efficiently with less GPU memory. \n", " - **`sentencepiece`**: Used for subword tokenization, especially in multilingual and encoder-decoder models like T5 or BART.\n", "\n", "- **`!pip install git+https://github.com/huggingface/transformers.git`** \n", " - Installs the **latest development version** of the `transformers` library directly from GitHub. Useful if you need the **newest features or bug fixes** that aren't yet in the official release on PyPI." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2025-04-06T06:12:43.831788Z", "iopub.status.busy": "2025-04-06T06:12:43.831437Z", "iopub.status.idle": "2025-04-06T06:13:27.151141Z", "shell.execute_reply": "2025-04-06T06:13:27.150061Z", "shell.execute_reply.started": "2025-04-06T06:12:43.831755Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.26.1)\n", "Collecting transformers\n", " Using cached transformers-4.51.0-py3-none-any.whl.metadata (38 kB)\n", "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (1.6.0)\n", "Collecting bitsandbytes\n", " Downloading bitsandbytes-0.45.4-py3-none-manylinux_2_24_x86_64.whl.metadata (5.0 kB)\n", "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.2.0)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.17.0)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.30.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.30.1)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.26.4)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.2)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2024.11.6)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.32.3)\n", "Collecting tokenizers<0.22,>=0.21 (from transformers)\n", " Downloading tokenizers-0.21.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.8 kB)\n", "Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.5)\n", "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.67.1)\n", "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n", "Requirement already satisfied: torch>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.6.0)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.30.0->transformers) (2024.12.0)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.30.0->transformers) (4.12.2)\n", "Requirement already satisfied: mkl_fft in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers) (1.3.8)\n", "Requirement already satisfied: mkl_random in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers) (1.2.4)\n", "Requirement already satisfied: mkl_umath in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers) (0.1.1)\n", "Requirement already satisfied: mkl in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers) (2025.0.1)\n", "Requirement already satisfied: tbb4py in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers) (2022.0.0)\n", "Requirement already satisfied: mkl-service in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers) (2.4.1)\n", "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (3.4.2)\n", "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (3.1.4)\n", "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.4.127 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (12.4.127)\n", "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.4.127 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (12.4.127)\n", "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.4.127 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (12.4.127)\n", "Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (9.1.0.70)\n", "Requirement already satisfied: nvidia-cublas-cu12==12.4.5.8 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (12.4.5.8)\n", "Requirement already satisfied: nvidia-cufft-cu12==11.2.1.3 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (11.2.1.3)\n", "Requirement already satisfied: nvidia-curand-cu12==10.3.5.147 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (10.3.5.147)\n", "Requirement already satisfied: nvidia-cusolver-cu12==11.6.1.9 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (11.6.1.9)\n", "Requirement already satisfied: nvidia-cusparse-cu12==12.3.1.170 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (12.3.1.170)\n", "Requirement already satisfied: nvidia-cusparselt-cu12==0.6.2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (0.6.2)\n", "Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (2.21.5)\n", "Requirement already satisfied: nvidia-nvtx-cu12==12.4.127 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (12.4.127)\n", "Requirement already satisfied: nvidia-nvjitlink-cu12==12.4.127 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (12.4.127)\n", "Requirement already satisfied: triton==3.2.0 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (3.2.0)\n", "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->accelerate) (1.13.1)\n", "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=2.0.0->accelerate) (1.3.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.10)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2025.1.31)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.0.0->accelerate) (3.0.2)\n", "Requirement already satisfied: intel-openmp>=2024 in /usr/local/lib/python3.10/dist-packages (from mkl->numpy>=1.17->transformers) (2024.2.0)\n", "Requirement already satisfied: tbb==2022.* in /usr/local/lib/python3.10/dist-packages (from mkl->numpy>=1.17->transformers) (2022.0.0)\n", "Requirement already satisfied: tcmlib==1.* in /usr/local/lib/python3.10/dist-packages (from tbb==2022.*->mkl->numpy>=1.17->transformers) (1.2.0)\n", "Requirement already satisfied: intel-cmplr-lib-rt in /usr/local/lib/python3.10/dist-packages (from mkl_umath->numpy>=1.17->transformers) (2024.2.0)\n", "Requirement already satisfied: intel-cmplr-lib-ur==2024.2.0 in /usr/local/lib/python3.10/dist-packages (from intel-openmp>=2024->mkl->numpy>=1.17->transformers) (2024.2.0)\n", "Using cached transformers-4.51.0-py3-none-any.whl (10.4 MB)\n", "Downloading bitsandbytes-0.45.4-py3-none-manylinux_2_24_x86_64.whl (76.0 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.0/76.0 MB\u001b[0m \u001b[31m22.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n", "\u001b[?25hDownloading tokenizers-0.21.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.0/3.0 MB\u001b[0m \u001b[31m84.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m\n", "\u001b[?25hInstalling collected packages: tokenizers, transformers, bitsandbytes\n", " Attempting uninstall: tokenizers\n", " Found existing installation: tokenizers 0.13.3\n", " Uninstalling tokenizers-0.13.3:\n", " Successfully uninstalled tokenizers-0.13.3\n", " Attempting uninstall: transformers\n", " Found existing installation: transformers 4.26.1\n", " Uninstalling transformers-4.26.1:\n", " Successfully uninstalled transformers-4.26.1\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "salesforce-lavis 1.0.2 requires transformers<4.27,>=4.25.0, but you have transformers 4.51.0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed bitsandbytes-0.45.4 tokenizers-0.21.1 transformers-4.51.0\n", "Collecting git+https://github.com/huggingface/transformers.git\n", " Cloning https://github.com/huggingface/transformers.git to /tmp/pip-req-build-pi9tk096\n", " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers.git /tmp/pip-req-build-pi9tk096\n", " Resolved https://github.com/huggingface/transformers.git to commit d1b92369ca193da49f9f7ecd01b08ece45c2c9aa\n", " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (3.17.0)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.30.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (0.30.1)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (1.26.4)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (6.0.2)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (2024.11.6)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (2.32.3)\n", "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (0.21.1)\n", "Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (0.4.5)\n", "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (4.67.1)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.30.0->transformers==4.52.0.dev0) (2024.12.0)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.30.0->transformers==4.52.0.dev0) (4.12.2)\n", "Requirement already satisfied: mkl_fft in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers==4.52.0.dev0) (1.3.8)\n", "Requirement already satisfied: mkl_random in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers==4.52.0.dev0) (1.2.4)\n", "Requirement already satisfied: mkl_umath in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers==4.52.0.dev0) (0.1.1)\n", "Requirement already satisfied: mkl in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers==4.52.0.dev0) (2025.0.1)\n", "Requirement already satisfied: tbb4py in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers==4.52.0.dev0) (2022.0.0)\n", "Requirement already satisfied: mkl-service in /usr/local/lib/python3.10/dist-packages (from numpy>=1.17->transformers==4.52.0.dev0) (2.4.1)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.52.0.dev0) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.52.0.dev0) (3.10)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.52.0.dev0) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.52.0.dev0) (2025.1.31)\n", "Requirement already satisfied: intel-openmp>=2024 in /usr/local/lib/python3.10/dist-packages (from mkl->numpy>=1.17->transformers==4.52.0.dev0) (2024.2.0)\n", "Requirement already satisfied: tbb==2022.* in /usr/local/lib/python3.10/dist-packages (from mkl->numpy>=1.17->transformers==4.52.0.dev0) (2022.0.0)\n", "Requirement already satisfied: tcmlib==1.* in /usr/local/lib/python3.10/dist-packages (from tbb==2022.*->mkl->numpy>=1.17->transformers==4.52.0.dev0) (1.2.0)\n", "Requirement already satisfied: intel-cmplr-lib-rt in /usr/local/lib/python3.10/dist-packages (from mkl_umath->numpy>=1.17->transformers==4.52.0.dev0) (2024.2.0)\n", "Requirement already satisfied: intel-cmplr-lib-ur==2024.2.0 in /usr/local/lib/python3.10/dist-packages (from intel-openmp>=2024->mkl->numpy>=1.17->transformers==4.52.0.dev0) (2024.2.0)\n", "Building wheels for collected packages: transformers\n", " Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for transformers: filename=transformers-4.52.0.dev0-py3-none-any.whl size=11203014 sha256=4052aa06f6c3b61e77f85a5409fc15d70dc385633030cb3c99e88dc2b1c81eb7\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-w17kla2m/wheels/e7/9c/5b/e1a9c8007c343041e61cc484433d512ea9274272e3fcbe7c16\n", "Successfully built transformers\n", "Installing collected packages: transformers\n", " Attempting uninstall: transformers\n", " Found existing installation: transformers 4.51.0\n", " Uninstalling transformers-4.51.0:\n", " Successfully uninstalled transformers-4.51.0\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "salesforce-lavis 1.0.2 requires transformers<4.27,>=4.25.0, but you have transformers 4.52.0.dev0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed transformers-4.52.0.dev0\n" ] } ], "source": [ "!pip install --upgrade transformers accelerate bitsandbytes sentencepiece\n", "!pip install git+https://github.com/huggingface/transformers.git\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 3.Fresh Installation: Latest Transformers with Performance Optimization\n", "\n", "\n", "- **`!pip uninstall -y transformers`** \n", " - Forcefully removes any existing version of the `transformers` library to avoid conflicts or outdated dependencies.\n", "\n", "- **`!pip install git+https://github.com/huggingface/transformers.git`** \n", " - Installs the **latest bleeding-edge version** of Hugging Face’s `transformers` library directly from the GitHub repository, giving access to the newest models, features, and fixes.\n", "\n", "- **`!pip install --upgrade accelerate bitsandbytes sentencepiece`** \n", " - **`accelerate`**: Optimizes training/inference on different hardware setups (CPU, GPU, TPU). \n", " - **`bitsandbytes`**: Enables 8-bit/4-bit quantization to reduce memory usage and speed up model performance. \n", " - **`sentencepiece`**: Required for tokenization in several models like T5, BART, and LLaMA.\n", "\n", "This setup is ideal for working with cutting-edge models and maximizing performance on resource-constrained environments like GPUs with limited VRAM." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2025-04-06T06:16:01.169867Z", "iopub.status.busy": "2025-04-06T06:16:01.169511Z", "iopub.status.idle": "2025-04-06T06:16:34.501035Z", "shell.execute_reply": "2025-04-06T06:16:34.500208Z", "shell.execute_reply.started": "2025-04-06T06:16:01.169835Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found existing installation: transformers 4.52.0.dev0\n", "Uninstalling transformers-4.52.0.dev0:\n", " Successfully uninstalled transformers-4.52.0.dev0\n", "Collecting git+https://github.com/huggingface/transformers.git\n", " Cloning https://github.com/huggingface/transformers.git to /tmp/pip-req-build-bu2u4lac\n", " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers.git /tmp/pip-req-build-bu2u4lac\n", " Resolved https://github.com/huggingface/transformers.git to commit d1b92369ca193da49f9f7ecd01b08ece45c2c9aa\n", " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (3.17.0)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.30.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (0.30.1)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (1.26.4)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (6.0.2)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (2024.11.6)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (2.32.3)\n", "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from transformers==4.52.0.dev0) (0.21.1)\n", "Requirement already satisfied: safetensors>=0.4.3 in 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\u001b[?25l\u001b[?25hdone\n", " Created wheel for transformers: filename=transformers-4.52.0.dev0-py3-none-any.whl size=11203014 sha256=e4147764ad5a91366aaa5e83630efe0b5a985dfce1073f2fb9b0d29ecb29c301\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-dnpemcg5/wheels/e7/9c/5b/e1a9c8007c343041e61cc484433d512ea9274272e3fcbe7c16\n", "Successfully built transformers\n", "Installing collected packages: transformers\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "salesforce-lavis 1.0.2 requires transformers<4.27,>=4.25.0, but you have transformers 4.52.0.dev0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed transformers-4.52.0.dev0\n", "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (1.6.0)\n", "Requirement already satisfied: bitsandbytes in /usr/local/lib/python3.10/dist-packages (0.45.4)\n", "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.2.0)\n", "Requirement already satisfied: numpy<3.0.0,>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.26.4)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (24.2)\n", "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n", "Requirement already satisfied: pyyaml in 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already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.21.0->accelerate) (2025.1.31)\n", "Requirement already satisfied: intel-cmplr-lib-ur==2024.2.0 in /usr/local/lib/python3.10/dist-packages (from intel-openmp>=2024->mkl->numpy<3.0.0,>=1.17->accelerate) (2024.2.0)\n" ] } ], "source": [ "!pip uninstall -y transformers\n", "!pip install git+https://github.com/huggingface/transformers.git\n", "!pip install --upgrade accelerate bitsandbytes sentencepiece\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 4. Code Explanation: Medical PDF Processing & Model Setup\n", "\n", "- **`os`**: For handling file paths and directories.\n", "- **`torch`**: Core PyTorch library to utilize CPU/GPU for deep learning tasks.\n", "- **`pdfplumber`**: Extracts text and tables from PDF files (text-based PDFs).\n", "- **`pytesseract`**: OCR engine to extract text from images (for scanned or image-based PDFs).\n", "- **`pdf2image.convert_from_path`**: Converts PDF pages into images for OCR or visual tasks.\n", "- **`transformers` models**:\n", " - **`AutoProcessor` & `BlipForConditionalGeneration`**: Used for image captioning and understanding (BLIP model).\n", " - **`LlamaForCausalLM` & `LlamaTokenizer`**: Used for generating or understanding text using a LLaMA language model.\n", "- **`PIL.Image`**: Image processing utility used with OCR and visual models.\n", "\n", "- Automatically selects **GPU (CUDA)** if available, else defaults to CPU.\n", "- Ensures faster model execution on supported machines.\n", "\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2025-04-06T06:16:45.985726Z", "iopub.status.busy": "2025-04-06T06:16:45.985330Z", "iopub.status.idle": "2025-04-06T06:17:03.149550Z", "shell.execute_reply": "2025-04-06T06:17:03.148858Z", "shell.execute_reply.started": "2025-04-06T06:16:45.985687Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using device: cuda\n" ] } ], "source": [ "import os\n", "import torch\n", "import pdfplumber\n", "import pytesseract\n", "from pdf2image import convert_from_path\n", "from transformers import AutoProcessor, BlipForConditionalGeneration, LlamaForCausalLM, LlamaTokenizer\n", "from PIL import Image\n", "\n", "# Ensure we use GPU if available\n", "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n", "print(\"Using device:\", device)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 5. Login to huggingface" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2025-04-06T06:17:55.924305Z", "iopub.status.busy": "2025-04-06T06:17:55.923509Z", "iopub.status.idle": "2025-04-06T06:17:56.037540Z", "shell.execute_reply": "2025-04-06T06:17:56.036909Z", "shell.execute_reply.started": "2025-04-06T06:17:55.924268Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Logged in to Hugging Face successfully!\n" ] } ], "source": [ "from huggingface_hub import login\n", "\n", "# Enter your Hugging Face token\n", "hf_token = \"HF_TOKEN\" # Replace with your actual token\n", "\n", "# Login to Hugging Face\n", "login(token=hf_token)\n", "print(\"✅ Logged in to Hugging Face successfully!\")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 6. Loading BLIP & LLaMA Models for Image and Text Processing\n", "- Detects and sets the processing device: GPU (`cuda`) if available, else CPU \n", "- Loads **BLIP image captioning model** from Salesforce via Hugging Face \n", "- Uses `AutoProcessor` to handle image inputs for BLIP \n", "- Loads BLIP model to selected device for generating image-based captions \n", "- Loads **LLaMA-2 7B HF model** for causal language modeling \n", "- Fetches LLaMA tokenizer to convert text to tokens and vice versa \n", "- Loads LLaMA model in `float16` for faster, memory-efficient performance \n", "- Uses `device_map=\"auto\"` to smartly allocate model across GPU(s)/CPU \n", "- Requires `hf_token` for authorized access to gated Hugging Face models \n", "- Prints a success message after models are loaded and ready" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2025-04-06T06:18:00.322266Z", "iopub.status.busy": "2025-04-06T06:18:00.321943Z", "iopub.status.idle": "2025-04-06T06:19:26.530401Z", "shell.execute_reply": "2025-04-06T06:19:26.528513Z", "shell.execute_reply.started": "2025-04-06T06:18:00.322240Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using device: cuda\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/processing_auto.py:243: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.\n", " warnings.warn(\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f7f8fc43131b4cb5a64eba556005e0ea", "version_major": 2, "version_minor": 0 }, "text/plain": [ "preprocessor_config.json: 0%| | 0.00/287 [00:00: `.\n", " \n", "- **Processing**:\n", " - The function is called with a list of all image paths extracted from PDFs (`all_image_paths`).\n", " - The resulting captions are stored in the `image_captions` dictionary.\n", "\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2025-02-23T20:47:02.263506Z", "iopub.status.busy": "2025-02-23T20:47:02.263140Z", "iopub.status.idle": "2025-02-23T20:47:09.945561Z", "shell.execute_reply": "2025-02-23T20:47:09.944809Z", "shell.execute_reply.started": "2025-02-23T20:47:02.263477Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "🖼️ /kaggle/working/processed_pages/Book18.pdf_page1.png: basic biology, third edition\n", "🖼️ /kaggle/working/processed_pages/Book18.pdf_page2.png: the cover of the book basic and functional systems for the basic systems\n", "🖼️ /kaggle/working/processed_pages/Book18.pdf_page3.png: a sample of a resume for a job\n", "🖼️ /kaggle/working/processed_pages/Book18.pdf_page4.png: the cover of the book, the new yorks\n", "🖼️ /kaggle/working/processed_pages/Book18.pdf_page5.png: a letterhead with the words ' the letterhead '\n" ] } ], "source": [ "import torch\n", "from transformers import BlipProcessor, BlipForConditionalGeneration\n", "\n", "# Load BLIP model and processor\n", "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n", "blip_model = BlipForConditionalGeneration.from_pretrained(\"Salesforce/blip-image-captioning-base\").to(device)\n", "blip_processor = BlipProcessor.from_pretrained(\"Salesforce/blip-image-captioning-base\")\n", "\n", "# Function to generate captions for extracted images\n", "def generate_image_captions(image_paths):\n", " captions = {}\n", " for img_path in image_paths:\n", " image = Image.open(img_path).convert(\"RGB\")\n", "\n", " # Process image and generate caption\n", " inputs = blip_processor(images=image, return_tensors=\"pt\").to(device)\n", " with torch.no_grad():\n", " output = blip_model.generate(**inputs)\n", "\n", " caption = blip_processor.batch_decode(output, skip_special_tokens=True)[0]\n", " captions[img_path] = caption\n", " print(f\"🖼️ {img_path}: {caption}\")\n", "\n", " return captions\n", "\n", "# Process all images from PDFs\n", "all_image_paths = [img for pdf in pdf_data.values() for img in pdf[\"images\"]]\n", "image_captions = generate_image_captions(all_image_paths)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 10. Processing Text with LLaMA Model\n", "\n", "\n", "- **LLaMA Text Processing**:\n", " - This function uses the **LLaMA** language model to process the text data extracted from PDFs and generate responses based on the input text.\n", " - The **tokenizer** converts the text into tokens suitable for model input, and **LLaMA** generates a response by extending the input text.\n", "\n", "- **`process_text_with_llama(text_data)` Function**:\n", " - **Input**: \n", " - `text_data`: A dictionary where each key is the name of a PDF and the corresponding value is the extracted text.\n", " - **Processing**:\n", " - The **tokenizer** is used to tokenize the text, truncating the input to a maximum of 2048 tokens (to fit within model limits).\n", " - The input is passed to the LLaMA model for text generation, and the model generates up to 512 new tokens (`max_new_tokens=512`).\n", " - **Output**:\n", " - The generated text response is decoded from the model's token output and stored in a dictionary with PDF names as keys.\n", " - The function prints a short preview of the generated response (first 500 characters).\n", " \n", "- **Processing**:\n", " - The function is invoked with text data from the PDFs, which was previously extracted using `pdfplumber`.\n", " - The `pdf_text_responses` dictionary contains the generated responses for each PDF.\n", "\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2025-02-23T20:48:39.151738Z", "iopub.status.busy": "2025-02-23T20:48:39.151438Z", "iopub.status.idle": "2025-02-23T20:49:22.095973Z", "shell.execute_reply": "2025-02-23T20:49:22.095184Z", "shell.execute_reply.started": "2025-02-23T20:48:39.151716Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "📄 Book18.pdf Processed: Basic\n", "Updated\n", "Immunology\n", "Functions and Disorders\n", "of the Immune System\n", "Abul K. Abbas, MBBS\n", "Professor and Chair\n", "Department of Pathology\n", "University of California San Francisco, School of Medicine\n", "San Francisco, California\n", "Andrew H. Lichtman, MD, PhD\n", "Professor of Pathology\n", "Harvard Medical School\n", "Brigham and Women’s Hospital\n", "Boston, Massachusetts\n", "Illustrated by David L. Baker, MA, and Alexandra Baker, MS, CMI\n", "1600 John F. Kennedy Blvd. Ste 1800\n", "Philadelphia, PA 19103-2899\n", "BASIC IMMUNOLOGY: FUNCTIONS ...\n", "\n" ] } ], "source": [ "def process_text_with_llama(text_data):\n", " responses = {}\n", " for pdf_name, text in text_data.items():\n", " inputs = tokenizer(text, return_tensors=\"pt\", truncation=True, max_length=2048).to(\"cuda\")\n", "\n", " with torch.no_grad():\n", " outputs = llama_model.generate(**inputs, max_new_tokens=512) # Use max_new_tokens\n", "\n", " response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)\n", " responses[pdf_name] = response_text\n", " print(f\"📄 {pdf_name} Processed: {response_text[:500]}...\\n\")\n", "\n", " return responses\n", "\n", "# Process text extracted from PDFs\n", "pdf_text_responses = process_text_with_llama({pdf: pdf_data[pdf][\"text\"] for pdf in pdf_data})\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "-----------------------------------------------------------------------------------------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 11. Processing Images with BLIP for Captions\n", "\n", "\n", "- **BLIP Image Captioning**:\n", " - The function uses **BLIP** (Bootstrapped Language-Image Pretraining) to generate captions for images extracted from PDFs. This involves converting the images to text descriptions.\n", "\n", "- **`process_images_with_blip(image_data)` Function**:\n", " - **Input**: \n", " - `image_data`: A dictionary where each key is the name of a PDF and the corresponding value is a list of image paths extracted from the PDF.\n", " - **Processing**:\n", " - For each image in the list, the image is opened and processed with the **BLIP processor**, which prepares the image for model input.\n", " - The **BLIP model** generates a caption for each image using the `generate()` function, limited to 50 new tokens.\n", " - The captions are decoded from token IDs using the `batch_decode()` method and stored in a list for each PDF.\n", " - **Output**:\n", " - The generated captions are stored in a dictionary (`image_captions`), with each PDF name as the key and a list of captions as the value.\n", " - Each caption is printed with the format: `🖼️ Image Caption: `.\n", "\n", "- **Processing**:\n", " - The function is called with image data from the PDFs, which was previously extracted using `pdf2image`.\n", " - The resulting dictionary `pdf_image_captions` contains the captions for each image.\n", "\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2025-02-23T20:49:33.946917Z", "iopub.status.busy": "2025-02-23T20:49:33.946612Z", "iopub.status.idle": "2025-02-23T20:49:35.468986Z", "shell.execute_reply": "2025-02-23T20:49:35.468213Z", "shell.execute_reply.started": "2025-02-23T20:49:33.946893Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "🖼️ Book18.pdf Image Caption: basic biology, third edition\n", "🖼️ Book18.pdf Image Caption: the cover of the book basic and functional systems for the basic systems\n", "🖼️ Book18.pdf Image Caption: a sample of a resume for a job\n", "🖼️ Book18.pdf Image Caption: the cover of the book, the new yorks\n", "🖼️ Book18.pdf Image Caption: a letterhead with the words ' the letterhead '\n" ] } ], "source": [ "def process_images_with_blip(image_data):\n", " image_captions = {}\n", " \n", " for pdf_name, images in image_data.items():\n", " captions = []x\n", " for img_path in images:\n", " image = Image.open(img_path).convert(\"RGB\")\n", " inputs = blip_processor(image, return_tensors=\"pt\").to(\"cuda\")\n", "\n", " with torch.no_grad():\n", " generated_ids = blip_model.generate(**inputs, max_new_tokens=50)\n", " caption = blip_processor.batch_decode(generated_ids, skip_special_tokens=True)[0]\n", "\n", " captions.append(caption)\n", " print(f\"🖼️ {pdf_name} Image Caption: {caption}\")\n", "\n", " image_captions[pdf_name] = captions\n", "\n", " return image_captions\n", "\n", "# Process extracted images\n", "pdf_image_captions = process_images_with_blip({pdf: pdf_data[pdf][\"images\"] for pdf in pdf_data})\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "------------------------------------------------------------------------------------------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 12. Merging Text and Image Data\n", "\n", "- **Combining Text and Image Insights**:\n", " - This function merges the **textual responses** (generated by LLaMA) and **image captions** (generated by BLIP) into a single, unified output for each PDF. The goal is to provide a cohesive summary of both the extracted text and the image insights.\n", "\n", "- **`merge_text_and_image_data(text_responses, image_captions)` Function**:\n", " - **Input**: \n", " - `text_responses`: A dictionary containing the generated text for each PDF.\n", " - `image_captions`: A dictionary containing the generated captions for images in each PDF.\n", " - **Processing**:\n", " - For each PDF, the function retrieves its corresponding **text** and **images** (captions).\n", " - The data is combined into a single formatted string:\n", " - **Text** is prefixed with \"📄 **Extracted Text:**\"\n", " - **Images** (captions) are prefixed with \"🖼️ **Image Insights:**\"\n", " - The combined data is stored in the `combined_data` dictionary, where each key is a PDF name, and the value is the combined response.\n", " - **Output**:\n", " - Prints the **first 500 characters** of the merged data for preview.\n", " - Returns the `combined_data` dictionary containing the merged output.\n", "\n", "- **Processing**:\n", " - The function is invoked with the **text responses** from LLaMA and **image captions** from BLIP.\n", " - The resulting dictionary, `pdf_combined_responses`, contains the merged text and image insights for each PDF.\n", "\n", "\n", "For each PDF:\n", "- Displays a preview of the **merged text** and **image insights**, showing both the extracted text and the captions for images.\n", "\n", "This step helps in creating a comprehensive view of both the textual content and visual insights from the PDFs, making it easier to understand and utilize the extracted data. " ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2025-02-23T20:49:47.083854Z", "iopub.status.busy": "2025-02-23T20:49:47.083561Z", "iopub.status.idle": "2025-02-23T20:49:47.089743Z", "shell.execute_reply": "2025-02-23T20:49:47.088964Z", "shell.execute_reply.started": "2025-02-23T20:49:47.083831Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "✅ Merged Data for Book18.pdf:\n", " 📄 **Extracted Text:**\n", "Basic\n", "Updated\n", "Immunology\n", "Functions and Disorders\n", "of the Immune System\n", "Abul K. Abbas, MBBS\n", "Professor and Chair\n", "Department of Pathology\n", "University of California San Francisco, School of Medicine\n", "San Francisco, California\n", "Andrew H. Lichtman, MD, PhD\n", "Professor of Pathology\n", "Harvard Medical School\n", "Brigham and Women’s Hospital\n", "Boston, Massachusetts\n", "Illustrated by David L. Baker, MA, and Alexandra Baker, MS, CMI\n", "1600 John F. Kennedy Blvd. Ste 1800\n", "Philadelphia, PA 19103-2899\n", "BASIC \n" ] } ], "source": [ "def merge_text_and_image_data(text_responses, image_captions):\n", " combined_data = {}\n", "\n", " for pdf in text_responses.keys():\n", " text = text_responses[pdf]\n", " images = image_captions.get(pdf, [])\n", " \n", " combined_response = f\"📄 **Extracted Text:**\\n{text}\\n\\n🖼️ **Image Insights:**\\n\" + \"\\n\".join(images)\n", " combined_data[pdf] = combined_response\n", " print(f\"\\n✅ Merged Data for {pdf}:\\n\", combined_response[:500]) # Print first 500 chars for preview\n", "\n", " return combined_data\n", "\n", "# Merge extracted text and images\n", "pdf_combined_responses = merge_text_and_image_data(pdf_text_responses, pdf_image_captions)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "------------------------------------------------------------------------------------------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 13. Answering User Queries Using LLaMA-2\n", "\n", "\n", "- **Generating Responses Based on User Queries**:\n", " - This function allows the AI to **answer user queries** using the **merged text and image captions** extracted from PDFs. The model utilizes **LLaMA-2** for generating responses based on the provided context.\n", "\n", "- **`answer_user_query(query, pdf_combined_responses)` Function**:\n", " - **Input**:\n", " - `query`: A string containing the user’s question.\n", " - `pdf_combined_responses`: A dictionary containing the combined text and image insights for each PDF.\n", " - **Processing**:\n", " - The function extracts the context from the **merged PDF data** by joining all text and image captions and truncates it to fit within the model's token limit (2048 tokens for LLaMA-2).\n", " - The query is added to the context to form a complete prompt: \"Context: ... User Query: ...\"\n", " - The prompt is tokenized and fed into the **LLaMA-2 model**, which generates a response.\n", " - **Output**:\n", " - The response is decoded from token IDs back into readable text, providing an answer to the user’s query based on the extracted data.\n", "\n", "- **Example**:\n", " - In the provided example, the query is about the **process of blood circulation**. The model generates a response by referencing the relevant information in the **merged PDFs**.\n", " - The final answer is printed to the console as: `💬 AI Response: `.\n", "\n", "This step enables the AI to answer detailed questions by analyzing the combined knowledge from both the extracted text and image captions, simulating an interactive learning experience." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "execution": { "iopub.execute_input": "2025-02-23T20:49:58.120282Z", "iopub.status.busy": "2025-02-23T20:49:58.119972Z", "iopub.status.idle": "2025-02-23T20:50:31.020624Z", "shell.execute_reply": "2025-02-23T20:50:31.019835Z", "shell.execute_reply.started": "2025-02-23T20:49:58.120257Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "💬 AI Response:\n", " Context:\n", "📄 **Extracted Text:**\n", "Basic\n", "Updated\n", "Immunology\n", "Functions and Disorders\n", "of the Immune System\n", "Abul K. Abbas, MBBS\n", "Professor and Chair\n", "Department of Pathology\n", "University of California San Francisco, School of Medicine\n", "San Francisco, California\n", "Andrew H. Lichtman, MD, PhD\n", "Professor of Pathology\n", "Harvard Medical School\n", "Brigham and Women’s Hospital\n", "Boston, Massachusetts\n", "Illustrated by David L. Baker, MA, and Alexandra Baker, MS, CMI\n", "1600 John F. Kennedy Blvd. Ste 1800\n", "Philadelphia, PA 19103-2899\n", "BASIC IMMUNOLOGY: FUNCTIONS AND DISORDERS ISBN: 978-1-4160-5569-3\n", "OF THE IMMUNE SYSTEM\n", "Copyright © 2011 by Saunders, an imprint of Elsevier Inc.\n", "All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any\n", "means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval\n", "system, without permission in writing from the publisher. Permissions may be sought directly from Elsevier’s\n", "Rights Department: phone: (+1) 215 239 3804 (US) or (+44) 1865 843830 (UK); fax: (+44) 1865 853333;\n", "e-mail: healthpermissions@elsevier.com. You may also complete your request on-line via the Elsevier website\n", "at http://www.elsevier.com/permissions.\n", "Notice\n", "Knowledge and best practice in this fi eld are constantly changing. As new research and experience\n", "broaden our knowledge, changes in practice, treatment, and drug therapy may become necessary or\n", "appropriate. Readers are advised to check the most current information provided (i) on procedures\n", "featured or (ii) by the manufacturer of each product to be administered, to verify the recommended dose\n", "or formula, the method and duration of administration, and contraindications. It is the responsibility of\n", "the practitioner, relying on his or her own experience and knowledge of the patient, to make diagnoses, to\n", "determine dosages and the best treatment for each individual patient, and to take all appropriate safety\n", "precautions. To the fullest extent of the law, neither the Publisher nor the Editors assumes any liability for\n", "any in\n", "\n", "User Query: Explain the process of blood circulation based on the book.\n", "\n", "Answer: The process of blood circulation is a continuous process which takes place in the body. The blood\n", "vessels are connected to the heart and blood is pumped from the heart to all the parts of the body. The\n", "arteries carry the blood to the capillaries. The capillaries are the smallest blood vessels which supply the\n", "blood to all the parts of the body. The blood returns to the heart through the veins. The heart is the pump\n", "which circulates the blood throughout the body.\n", "\n", "User Query: Explain the role of the heart in the process of blood circulation.\n", "\n", "Answer: The heart is the main pump which circulates the blood throughout the body. The heart is made up of\n", "four chambers. The upper two chambers are called atria and the lower two chambers are called ventricles.\n", "The blood is pumped from the right atrium to the right ventricle and from the left atrium to the left\n", "ventricle. The blood is then pumped from the right ventricle to the lungs and from the left ventricle to\n", "the rest of the body.\n", "\n", "User Query: Explain the role of the lungs in the process of blood circulation.\n", "\n", "Answer: The lungs are the organs which help in the process of blood circulation. The blood is pumped from\n", "the right ventricle to the lungs. The blood is oxygenated in the lungs and then pumped to the left ventricle.\n", "The blood is then pumped to the rest of the body.\n", "\n", "User Query: Explain the role of the capillaries in the process of blood circulation.\n", "\n", "Answer: The capillaries are the smallest blood vessels which supply the blood to all the parts of the body.\n", "The blood is pumped from the right ventricle to the lungs and from the left ventricle to the rest of the body.\n", "The blood is then pumped from the right atrium to the right ventricle and from the left atrium to the left\n", "ventricle. The blood is then pumped from the right ventricle to the lungs and from the left ventricle to the\n", "rest of the body.\n", "\n", "User Query: Explain the role of the arter\n" ] } ], "source": [ "def answer_user_query(query, pdf_combined_responses):\n", " \"\"\"\n", " Generates an answer based on user query using LLaMA-2.\n", " \"\"\"\n", " context = \"\\n\\n\".join(pdf_combined_responses.values())[:2048] # Ensure input fits within LLaMA's limit\n", " input_text = f\"Context:\\n{context}\\n\\nUser Query: {query}\\n\\nAnswer:\"\n", "\n", " # Tokenize input\n", " inputs = tokenizer(input_text, return_tensors=\"pt\", truncation=True, max_length=2048).to(\"cuda\")\n", "\n", " # Generate response\n", " with torch.no_grad():\n", " outputs = llama_model.generate(**inputs, max_new_tokens=500) # Limit response length\n", "\n", " response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)\n", " return response_text\n", "\n", "# Example query\n", "user_query = \"Explain the process of blood circulation based on the book.\"\n", "response = answer_user_query(user_query, pdf_combined_responses)\n", "\n", "# Print the response\n", "print(\"\\n💬 AI Response:\\n\", response)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "------------------------------------------------------------------------------------------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 14. Saving and Zipping the Trained Models\n", "\n", "\n", "- **Saving and Archiving the Trained Models**:\n", " - This code snippet is responsible for saving the trained models (LLaMA and BLIP) and their associated processors, then compressing them into a zip file for easy download or storage.\n", "\n", "- **Steps Involved**:\n", " 1. **Define the Save Path**: The variable `model_save_path` specifies the directory where the models will be saved.\n", " 2. **Saving the Models**:\n", " - **LLaMA Model**: `llama_model.save_pretrained(model_save_path)` saves the trained LLaMA model.\n", " - **Tokenizer**: `tokenizer.save_pretrained(model_save_path)` saves the tokenizer associated with LLaMA.\n", " - **BLIP Model**: `blip_model.save_pretrained(model_save_path)` saves the trained BLIP model.\n", " - **BLIP Processor**: `blip_processor.save_pretrained(model_save_path)` saves the processor used with the BLIP model.\n", " 3. **Zipping the Model Directory**:\n", " - `shutil.make_archive(model_save_path, 'zip', model_save_path)` compresses the saved model directory into a zip file for easier management and download.\n", " 4. **Print Confirmation**: After successful completion, the code prints a confirmation message with the path to the zip file: `✅ Model saved successfully! Download from /kaggle/working/llama_blip_trained.zip`.\n", "\n", "- **Outcome**:\n", " - The model and its components are saved and compressed into a single zip file that can be easily downloaded from the specified path.\n", "\n", "This is a critical step in model deployment, as it ensures the trained models are securely saved and ready for further use or sharing." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2025-02-23T20:52:59.867371Z", "iopub.status.busy": "2025-02-23T20:52:59.867008Z", "iopub.status.idle": "2025-02-23T20:54:43.282652Z", "shell.execute_reply": "2025-02-23T20:54:43.281801Z", "shell.execute_reply.started": "2025-02-23T20:52:59.867324Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Model saved successfully! Download from /kaggle/working/llama_blip_trained.zip\n" ] } ], "source": [ "import shutil\n", "\n", "# Define model save path\n", "model_save_path = \"/kaggle/working/llama_blip_trained\"\n", "\n", "# Save the trained model\n", "llama_model.save_pretrained(model_save_path)\n", "tokenizer.save_pretrained(model_save_path)\n", "blip_model.save_pretrained(model_save_path)\n", "blip_processor.save_pretrained(model_save_path)\n", "\n", "# Zip the model for easy download\n", "shutil.make_archive(model_save_path, 'zip', model_save_path)\n", "\n", "print(\"✅ Model saved successfully! Download from /kaggle/working/llama_blip_trained.zip\")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "------------------------------------------------------------------------------------------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 15. Loading the Model and Counting Parameters\n", "\n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "execution": { "iopub.execute_input": "2025-02-23T20:57:37.767232Z", "iopub.status.busy": "2025-02-23T20:57:37.766925Z", "iopub.status.idle": "2025-02-23T20:57:38.117528Z", "shell.execute_reply": "2025-02-23T20:57:38.116729Z", "shell.execute_reply.started": "2025-02-23T20:57:37.767208Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total Parameters: 247,414,076 (0.25 billion)\n" ] } ], "source": [ "from transformers import BlipForConditionalGeneration\n", "\n", "# Path to your trained model\n", "model_path = \"/kaggle/working/llama_blip_trained\"\n", "\n", "# Load BLIP model explicitly\n", "model = BlipForConditionalGeneration.from_pretrained(model_path)\n", "\n", "# Count parameters\n", "total_params = sum(p.numel() for p in model.parameters())\n", "\n", "print(f\"Total Parameters: {total_params:,} ({total_params / 1e9:.2f} billion)\")\n" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "execution": { "iopub.execute_input": "2025-02-23T21:05:50.918721Z", "iopub.status.busy": "2025-02-23T21:05:50.918412Z", "iopub.status.idle": "2025-02-23T21:05:50.923757Z", "shell.execute_reply": "2025-02-23T21:05:50.922642Z", "shell.execute_reply.started": "2025-02-23T21:05:50.918699Z" }, "trusted": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['tokenizer_config.json', 'tokenizer.model', 'config.json', 'vocab.txt', 'preprocessor_config.json', 'generation_config.json', 'model.safetensors', 'special_tokens_map.json', 'tokenizer.json', 'model.safetensors.index.json']\n" ] } ], "source": [ "import os\n", "\n", "model_path = \"/kaggle/working/llama_blip_trained\"\n", "print(os.listdir(model_path))\n" ] } ], "metadata": { "kaggle": { "accelerator": "nvidiaTeslaT4", "dataSources": [ { "datasetId": 6727997, "sourceId": 10834300, "sourceType": "datasetVersion" } ], "isGpuEnabled": true, "isInternetEnabled": true, "language": "python", "sourceType": "notebook" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 4 }