Instructions to use debjit-coder/domesticabuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use debjit-coder/domesticabuse with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("roberta-base") model = PeftModel.from_pretrained(base_model, "debjit-coder/domesticabuse") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2158f35b5f6490732987478416feb28ea29b34b2040b956263656f0a973c4f45
- Size of remote file:
- 4.92 kB
- SHA256:
- 76aa5d2f71901c1070f7bd58eec968b2b01f6ede30f9fb6c7ddbe3fa5e5c2465
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