Instructions to use dbg-adapter/accouplement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dbg-adapter/accouplement 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/accouplement") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1e55cadb46c8dc86a4a86e17586b1e37efeb08b07f50a88aec28e429a0be0b2
- Size of remote file:
- 20 MB
- SHA256:
- d696379719f2fbf8385197e57b39d0461b83136fd5106675b8df556d3ca4804d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.