Instructions to use ValasaiChander/debatra-adu-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ValasaiChander/debatra-adu-parser with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("microsoft/deberta-v3-base") model = PeftModel.from_pretrained(base_model, "ValasaiChander/debatra-adu-parser") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2009e68dd8b6790621065f82ffd43d5887db398730c31c05bcc538604407f9b9
- Size of remote file:
- 7.17 MB
- SHA256:
- 6ef147df33dad7c33c70c4ed2a096a35a5acf63e8912045d321f7c384c2a331e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.