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 checkpoint-800/training_args.bin from vllm-sr/mmbert-jailbreak-detector-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/vllm-sr/mmbert-jailbreak-detector-lora/resolve/dca7bdeb435104487bcd08128a582173879814bc/checkpoint-800/training_args.bin
- Command line
-
hf download hf://vllm-sr/mmbert-jailbreak-detector-lora@dca7bdeb435104487bcd08128a582173879814bc/checkpoint-800/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vllm-sr/mmbert-jailbreak-detector-lora/resolve/dca7bdeb435104487bcd08128a582173879814bc/checkpoint-800/training_args.bin
5.78 kB
- Xet hash:
- 175e0a8ddfceba6cb40654d1fad6c673a89dacdaae68b5878e286be92c2235ee
- Size of remote file:
- 5.78 kB
- SHA256:
- 8f78f1b2958c3ea989dc461e96c206c82968703a7e46e597797ffd4827e31ae8
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