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:
- 1031466e5f734e2b883105b8f81408cef948e52c79d52c23ee7fc3a7604fe180
- Size of remote file:
- 102 Bytes
- SHA256:
- 3bb4a6970feb573ff02e5628557cf6fb083922408e55855b49d04b0c66ffbf11
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.