Instructions to use dbg-adapter/declaration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dbg-adapter/declaration with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("gguichard/camembert-large-resaved") model = PeftModel.from_pretrained(base_model, "dbg-adapter/declaration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 948e0ebc8b7ce0d4bb675756c866162126ed744a72e04fd737d7b2448e8a8be9
- Size of remote file:
- 20 MB
- SHA256:
- e14083bc41e2de99d1d4ddb150b0e4162c00253ab147361d4a94ca0a4e4014f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.