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:
- 1da4fd4e73a6aaa6f2dce9bf3bbe70b03255ff5f91f491bd5028e93c2f75bf94
- Size of remote file:
- 1.47 kB
- SHA256:
- 57d42e9cbc745914371a038ce5dc674099105d7b5e9aa41d5269bbaa4ada5f5c
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