Instructions to use Hate-speech-CNERG/Rationale_predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hate-speech-CNERG/Rationale_predictor with Transformers:
# Load model directly from transformers import AutoTokenizer, Model_Rational_Label tokenizer = AutoTokenizer.from_pretrained("Hate-speech-CNERG/Rationale_predictor") model = Model_Rational_Label.from_pretrained("Hate-speech-CNERG/Rationale_predictor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cbb504b158f44d09cb7e80fe6f9d8f4b85c56a249fc2bdff4215c3293d94471
- Size of remote file:
- 438 MB
- SHA256:
- 7665b60a015829a412dc5136acefbf932bb1605165f543866394db3a6b3bede0
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