Text Classification
Transformers
Safetensors
English
Vietnamese
vong
feature-extraction
safety
ai-safety
guardrail
content-moderation
prompt-injection
jailbreak-detection
llm-firewall
safety-classifier
probe-based-classification
qwen3.5
lightweight
fast-inference
multilingual
custom_code
Instructions to use beyoru/Qwen3.5-SafeProbe-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyoru/Qwen3.5-SafeProbe-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beyoru/Qwen3.5-SafeProbe-2B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beyoru/Qwen3.5-SafeProbe-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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