Instructions to use jpcorb20/toxic-detector-distilroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpcorb20/toxic-detector-distilroberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jpcorb20/toxic-detector-distilroberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jpcorb20/toxic-detector-distilroberta") model = AutoModelForSequenceClassification.from_pretrained("jpcorb20/toxic-detector-distilroberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4723caaf56c8cf743ad3d5b1afc90286d78930fe64a4d3c00ab8ef68b49016f
- Size of remote file:
- 328 MB
- SHA256:
- 09a0ae1920f45bbc6a8074b3326b9686b445a81457d30b42c5f14b88ae5fa878
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