Instructions to use sonnv/toxic_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sonnv/toxic_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sonnv/toxic_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sonnv/toxic_detection") model = AutoModelForSequenceClassification.from_pretrained("sonnv/toxic_detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 971aa9001b8020dc4a7b4b09dcd8e41129ab66dcc73ef60181b3517e793b4cc3
- Size of remote file:
- 3.38 kB
- SHA256:
- 8c34755b20db0761a6da5d8b837645de9543f1748466bb4f206f5a024117c731
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