Instructions to use ucberkeley-dlab/hate-measure-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ucberkeley-dlab/hate-measure-roberta-large with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("ucberkeley-dlab/hate-measure-roberta-large") - Notebooks
- Google Colab
- Kaggle
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tags:
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- text-classification
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- hate-speech
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- arxiv:2009.10277
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# Measuring hate speech: RoBERTa-Large
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This model
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## Citation
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tags:
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- text-classification
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- hate-speech
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- counterspeech
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- irt
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- arxiv:2009.10277
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# Measuring hate speech: RoBERTa-Large
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This model predicts a continuous hate speech score as described in Kennedy et al. (2020).
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## Citation
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