Text Classification
Model2Vec
Safetensors
English
safety
guardrail
moderation
jailbreak-detection
multilabel
static-embeddings
Instructions to use bfuzzy1/Railz-Micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use bfuzzy1/Railz-Micro with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("bfuzzy1/Railz-Micro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fc69c4d9e66c516d8c35df996b5b3a5e38b797db13d21cab9de4e7b1d2d8c07
- Size of remote file:
- 3.92 MB
- SHA256:
- d09106086dafe8f21bf11980df657bc206a4060b0e41ac05b1326bafb0204fdb
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