Text Classification
Transformers
Safetensors
modernbert
prompt-injection
jailbreak-detection
guardrail
text-embeddings-inference
Instructions to use subin/mmbert32k-attack-guard-candidate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subin/mmbert32k-attack-guard-candidate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="subin/mmbert32k-attack-guard-candidate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("subin/mmbert32k-attack-guard-candidate") model = AutoModelForSequenceClassification.from_pretrained("subin/mmbert32k-attack-guard-candidate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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