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:
- e0af7e84805ff458a1756ac73c97eebb8b80a7411f6de806bf0c9af95eb11ca5
- Size of remote file:
- 6.78 kB
- SHA256:
- 9d343798bdd8fd7827266b339853d7c604a323566f2fd78c27711b663444f17e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.