Instructions to use ValasaiChander/debatra-fallacy-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ValasaiChander/debatra-fallacy-detector with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/deberta-v3-base") model = PeftModel.from_pretrained(base_model, "ValasaiChander/debatra-fallacy-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89224ede7e1c38054700f2d3477982821d46419df5eac13a5611eb0ab1e2533e
- Size of remote file:
- 5.59 kB
- SHA256:
- 0dab0d86af8db9f67148a3fa09b9e8e8bc497a573f47f3d443dced5e9390ecfa
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