Instructions to use s-nlp/roberta_toxicity_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-nlp/roberta_toxicity_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="s-nlp/roberta_toxicity_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("s-nlp/roberta_toxicity_classifier") model = AutoModelForSequenceClassification.from_pretrained("s-nlp/roberta_toxicity_classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91aad82be886a8403c84a7667d0c4cce3534982a7d27ea4ab49d38a5b40d9251
- Size of remote file:
- 501 MB
- SHA256:
- 896f52af161757594994d1fefe85ac79cbb57c9a96b26fba8ab93139b6426b8c
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