Instructions to use chainyo/alpaca-lora-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chainyo/alpaca-lora-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf") model = PeftModel.from_pretrained(base_model, "chainyo/alpaca-lora-7b") - Notebooks
- Google Colab
- Kaggle
Commit ·
71418c3
1
Parent(s): 7c1a079
fix: LlaMATokenizer -> LlamaTokenizer (#1)
Browse files- fix: LlaMATokenizer -> LlamaTokenizer (6f8fd6069be433b0f30c0c3c24bd978f11c26573)
Co-authored-by: Shion Honda <shionhonda@users.noreply.huggingface.co>
- tokenizer_config.json +1 -1
tokenizer_config.json
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{"bos_token": "", "eos_token": "", "model_max_length": 1000000000000000019884624838656, "tokenizer_class": "
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{"bos_token": "", "eos_token": "", "model_max_length": 1000000000000000019884624838656, "tokenizer_class": "LlamaTokenizer", "unk_token": ""}
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