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
File size: 133 Bytes
a268e99 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:609d8f4c067cd3950f88594c5a802616cea245823836ef5848ee4fc40aab5b6f
size 34363188
|