Zero-Shot Classification
Transformers
Safetensors
English
ultrabert
feature-extraction
decision-model
system-one
semantic-router
vela
encoder
token-classification
named-entity-recognition
relation-extraction
pii-detection
hallucination-detection
content-safety
custom_code
Instructions to use vllm-sr/vela3-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/vela3-fast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/vela3-fast", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vllm-sr/vela3-fast", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/vela3-fast", trust_remote_code=True, 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!