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
Download jailbreak_type_mapping.json from vllm-sr/mmbert-jailbreak-detector-merged: direct link, hf CLI and curl.
- Browser
- Download file 126 Bytes
-
https://huggingface.co/vllm-sr/mmbert-jailbreak-detector-merged/resolve/main/jailbreak_type_mapping.json
- Command line
-
hf download hf://vllm-sr/mmbert-jailbreak-detector-merged/jailbreak_type_mapping.json
-
curl -L -o jailbreak_type_mapping.json https://huggingface.co/vllm-sr/mmbert-jailbreak-detector-merged/resolve/main/jailbreak_type_mapping.json
126 Bytes
| { | |
| "label_to_id": { | |
| "benign": 0, | |
| "jailbreak": 1 | |
| }, | |
| "id_to_label": { | |
| "0": "benign", | |
| "1": "jailbreak" | |
| } | |
| } |