Instructions to use aryan1506/pythia410m-lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aryan1506/pythia410m-lora-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-410m") model = PeftModel.from_pretrained(base_model, "aryan1506/pythia410m-lora-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d10dca0b394e28f862b970cae5c16a5aaceaa3feaf01d88c521eda7d4109c331
- Size of remote file:
- 5.11 kB
- SHA256:
- 6db4eba4fc2bf17ac701dbd0a03518ecce4a1d0c5fe5158884746529dd7c6ea6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.