Text Classification
Transformers
ONNX
Safetensors
modernbert
prompt-injection
jailbreak-detection
llm-security
ai-agents
guardrails
text-embeddings-inference
Instructions to use usezn/Galvanize-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usezn/Galvanize-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="usezn/Galvanize-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("usezn/Galvanize-2") model = AutoModelForSequenceClassification.from_pretrained("usezn/Galvanize-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from usezn/Galvanize-2: direct link, hf CLI and curl.
- Browser
- Download file 564 Bytes
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https://huggingface.co/usezn/Galvanize-2/resolve/main/NOTICE
- Command line
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hf download hf://usezn/Galvanize-2/NOTICE
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curl -L -o NOTICE https://huggingface.co/usezn/Galvanize-2/resolve/main/NOTICE
564 Bytes
| Galvanize 2 | |
| Copyright 2026 usezn | |
| This model is a modified version of Horizon-Labs/prompt-injection-guard-small | |
| (https://huggingface.co/Horizon-Labs/prompt-injection-guard-small, revision e0e88c4e940ee7e1b52bdf943d501ec696b83b9b), | |
| Copyright Horizon Labs, licensed under the Apache License, Version 2.0. | |
| Modifications by usezn: further fine-tuning on additional data, a new decision threshold and an ONNX export. | |
| Horizon-Labs/prompt-injection-guard-small is itself fine-tuned from jhu-clsp/mmBERT-small | |
| (https://huggingface.co/jhu-clsp/mmBERT-small), MIT License. | |