Instructions to use thaffggg/3f756ea7-fb35-45d2-a74a-ebd641e3dc9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/3f756ea7-fb35-45d2-a74a-ebd641e3dc9b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "thaffggg/3f756ea7-fb35-45d2-a74a-ebd641e3dc9b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1912be8b7b3645a17dfe15e68006bfd3b221ec05dd5902ac5ff77688e10d431
- Size of remote file:
- 4.75 MB
- SHA256:
- 77d8fda0eb70165e2ab1e356879aaa4af8f0f6202090e051f76418deb5de7410
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