Text Classification
Transformers
ONNX
Safetensors
English
grimguard
feature-extraction
prompt-guard
guardrails
safety
policy-conditioning
instruction-conditioning
edge
grimlabs
custom_code
Instructions to use Grimlabs/GrimGuard-01-Prompt-Guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Grimlabs/GrimGuard-01-Prompt-Guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Grimlabs/GrimGuard-01-Prompt-Guard", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Grimlabs/GrimGuard-01-Prompt-Guard", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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