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:
- 5db8f2313bc4b9e9e75c3c9a39b82e4fe8e229f810dae2c2154c290664dd6a6e
- Size of remote file:
- 30.8 MB
- SHA256:
- 38bb224a6f6ddaeb35c3f41e698d2f9597d2a2f96125955d66b2532cfe8e117f
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