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
- Xet hash:
- 0d3c771a9b421335bbf81bca665f65104dbb4274f54a6bc84a7b70ab5058aaea
- Size of remote file:
- 22.3 MB
- SHA256:
- 2c6810e1bda75e7a368da6edefa22062222b5a513a079bac3f87d1ca8807849c
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