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:
- f50c0dabbafa4bd813c08d7a7bd1271d4c7f7f4abc68dca12cbe1c0994be7128
- Size of remote file:
- 5.59 kB
- SHA256:
- 7acfb6e4784801bd572f718aaa654ff22b4ca9969b6a78729d6c4374cce79d21
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