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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jang1563/constitutional-bioguard-response") model = AutoModelForSequenceClassification.from_pretrained("jang1563/constitutional-bioguard-response", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!