Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use potemin/jailbreak_detector_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use potemin/jailbreak_detector_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="potemin/jailbreak_detector_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("potemin/jailbreak_detector_v2") model = AutoModelForSequenceClassification.from_pretrained("potemin/jailbreak_detector_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa6c3f406a80e59419d1f51d33cfc06438992655b907335384a619736cc43a98
- Size of remote file:
- 5.24 kB
- SHA256:
- ef17b4de2d29b4806f906d9dbc8001a112118805f72735a44c2c8b8dc16d9eaf
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