Text Classification
Transformers
PyTorch
English
bert
jailbreak
security
moderation
prompt-injection
text-embeddings-inference
Instructions to use jackhhao/jailbreak-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jackhhao/jailbreak-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jackhhao/jailbreak-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jackhhao/jailbreak-classifier") model = AutoModelForSequenceClassification.from_pretrained("jackhhao/jailbreak-classifier", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from jackhhao/jailbreak-classifier: direct link, hf CLI and curl.
- Browser
- Download file 125 Bytes
-
https://huggingface.co/jackhhao/jailbreak-classifier/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://jackhhao/jailbreak-classifier/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/jackhhao/jailbreak-classifier/resolve/main/special_tokens_map.json
125 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |