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:
- 4c9af1a7d7dbe13a03589f7606b5cd92991670ad8d71900064d28ab8b42eda5d
- Size of remote file:
- 266 MB
- SHA256:
- 579048738b6ccaab56af284fb4f16aa6a74ced9d86fe71292809e8d96377cb94
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