Instructions to use vllm-sr/mmbert-jailbreak-detector-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vllm-sr/mmbert-jailbreak-detector-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("jhu-clsp/mmBERT-base") model = PeftModel.from_pretrained(base_model, "vllm-sr/mmbert-jailbreak-detector-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from vllm-sr/mmbert-jailbreak-detector-lora: direct link, hf CLI and curl.
- Browser
- Download file 27.1 MB
-
https://huggingface.co/vllm-sr/mmbert-jailbreak-detector-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://vllm-sr/mmbert-jailbreak-detector-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/vllm-sr/mmbert-jailbreak-detector-lora/resolve/main/adapter_model.safetensors
27.1 MB
- Xet hash:
- 412d480468f6c61d96df4d86029a5780f69b28a0bf7f0d7c5d650aa2e479532a
- Size of remote file:
- 27.1 MB
- SHA256:
- d713bd341e0eca3ed53efa009b0c0ea1dadb03823e946582d4385fc41e06fe2e
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