Instructions to use enguard/tiny-guard-4m-en-prompt-self-harm-binary-moderation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use enguard/tiny-guard-4m-en-prompt-self-harm-binary-moderation with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("enguard/tiny-guard-4m-en-prompt-self-harm-binary-moderation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4cae572ae2f9a843e7d04eff5abee57a66e0fb5ff7c2bb6f850c2250cf3275d
- Size of remote file:
- 1.94 MB
- SHA256:
- e66f3dd70b3fbb7374a81a6082707afaf2169353fab5eb40b4796fa1afb45220
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