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
/
d3-flash

Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
custom_code
Eval Results
Model card Files Files and versions
xet
Community
4

Instructions to use vllm-sr/d3-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vllm-sr/d3-flash with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-flash", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("vllm-sr/d3-flash", trust_remote_code=True)
    model = AutoModel.from_pretrained("vllm-sr/d3-flash", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Human vs Bot: which one you'd pick

#4 opened 1 day ago by
nightmedia

D3 Flash leads 18 local decision configurations on an RTX 2060 6 GB

🚀🔥 3
2
#3 opened 2 days ago by
etsabary

how to deploy the model?

5
#1 opened 16 days ago by
wanghaikuan
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs