Text Classification
Transformers
ONNX
Safetensors
roberta
llm-guard
security
text-embeddings-inference
Instructions to use TangoBeeAkto/distilroberta-rejection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TangoBeeAkto/distilroberta-rejection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TangoBeeAkto/distilroberta-rejection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TangoBeeAkto/distilroberta-rejection") model = AutoModelForSequenceClassification.from_pretrained("TangoBeeAkto/distilroberta-rejection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README - remove protectai references
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Upload distilroberta-rejection model for LLM Guard
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