Text Classification
Transformers
Safetensors
English
deberta-v2
safety
moderation
guard-model
biosafety
biosecurity
response-harm
deberta-v3
dual-use
Eval Results (legacy)
text-embeddings-inference
Instructions to use jang1563/constitutional-bioguard-response with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jang1563/constitutional-bioguard-response with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jang1563/constitutional-bioguard-response")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jang1563/constitutional-bioguard-response") model = AutoModelForSequenceClassification.from_pretrained("jang1563/constitutional-bioguard-response") - Notebooks
- Google Colab
- Kaggle
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constitutional-bioguard-response is a defensive bio-safety research artifact, released for non-commercial research only. By requesting access you agree to the responsible-use terms in the model card: use it solely for defensive evaluation and moderation research; do not use it as a reward, discriminator, or filter to generate, refine, or evade detection of harmful biological content; do not probe it to construct evasion strategies; do not redistribute the weights outside this gated channel.
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