Text Classification
Transformers
Safetensors
modernbert
jailbreak-detection
prompt-injection
llm-safety
text-embeddings-inference
Instructions to use vllm-sr/mmbert-jailbreak-detector-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/mmbert-jailbreak-detector-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vllm-sr/mmbert-jailbreak-detector-merged")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vllm-sr/mmbert-jailbreak-detector-merged") model = AutoModelForSequenceClassification.from_pretrained("vllm-sr/mmbert-jailbreak-detector-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload merged mmBERT model: mmBERT Jailbreak Detector (merged) - Security classification for Rust inference
a268e99 verified Download tokenizer.json from vllm-sr/mmbert-jailbreak-detector-merged: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/vllm-sr/mmbert-jailbreak-detector-merged/resolve/main/tokenizer.json
- Command line
-
hf download hf://vllm-sr/mmbert-jailbreak-detector-merged/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vllm-sr/mmbert-jailbreak-detector-merged/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 8fdbdb0307b65058d3b81a88cba0082cd1bbe8e85d34295d2271d6fa85a31c7a
- Size of remote file:
- 34.4 MB
- SHA256:
- 609d8f4c067cd3950f88594c5a802616cea245823836ef5848ee4fc40aab5b6f
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