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:
- d8611d8817494701e3c2e47343311ab58970a76ce5907065a5d085f3a0870ca4
- Size of remote file:
- 499 MB
- SHA256:
- 1b1fb0237f8355b4f0d9cfc99d4be4ca13987b7641a0a05150ea353c6e60acf8
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