Instructions to use chauhoang/0197fc0e-b252-4f87-96dc-4758d0c583bc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/0197fc0e-b252-4f87-96dc-4758d0c583bc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "chauhoang/0197fc0e-b252-4f87-96dc-4758d0c583bc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7cda0e13880afc318a8d3f2ad4ca871cf5268014e7e098996dca04d9f9a371e
- Size of remote file:
- 4.75 MB
- SHA256:
- 99ffcd45463d55d486cab957be5657deb491657d44d6e6ea996d4ef2765942b2
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