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:
- 6a40c18dd95beec98e03d7a0d76809fb45830a0110febdcad5b313072eef6d78
- Size of remote file:
- 45.1 MB
- SHA256:
- 72e9bec0d7611f91a94abbd99f524bfde36f324924d45e3578a081fa31142aa7
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