Instructions to use TheMrguiller/ToxDialogDefender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheMrguiller/ToxDialogDefender with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheMrguiller/ToxDialogDefender")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheMrguiller/ToxDialogDefender") model = AutoModelForSequenceClassification.from_pretrained("TheMrguiller/ToxDialogDefender") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f0d2dee6cdc993c37b38307684559a6142bbfa385b799fa8ebb694dc8ae3831
- Size of remote file:
- 557 MB
- SHA256:
- 6506938fbbe4f1eb5547ab48fc06f6c42045173b3471691d2774c1f07f7dea4c
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