Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

vllm-sr
/
vela3-flash

Zero-Shot Classification
Transformers
qwen3_5
feature-extraction
decision-model
system-one
semantic-router
vela
token-classification
named-entity-recognition
relation-extraction
pii-detection
hallucination-detection
content-safety
multimodal
custom_code
Model card Files Files and versions
xet
Community

Instructions to use vllm-sr/vela3-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vllm-sr/vela3-flash with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="vllm-sr/vela3-flash", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("vllm-sr/vela3-flash", trust_remote_code=True)
    model = AutoModel.from_pretrained("vllm-sr/vela3-flash", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vela3-flash / assets
1.84 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
adaamko's picture
adaamko
Vela 3.0
b89343c 2 days ago
  • banner.png
    1.26 MB
    xet
    Vela 3.0 2 days ago
  • family.png
    160 kB
    xet
    Vela 3.0 2 days ago
  • glance.png
    427 kB
    xet
    Vela 3.0 2 days ago