Instructions to use cardiffnlp/twitter-roberta-base-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-hate") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-hate") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08ef95ba1b73859bad181dba9b5ad50e4fab302f8e60893f6cc580e8a7bb66ae
- Size of remote file:
- 499 MB
- SHA256:
- 88a1b44ac71d62fd49a5f5fdfd4e3d94bdf20488b29ac56bf64960d85a2535e3
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