Instructions to use ValasaiChander/debatra-evidence-scorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ValasaiChander/debatra-evidence-scorer 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-evidence-scorer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acfc07fe32acf75d031d521fea283c390803a14245626a885744da617305656f
- Size of remote file:
- 5.59 kB
- SHA256:
- fc9e381457def8c5fd7f58f984485b26c5d4d281e96f9d2c06493066a84dac64
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