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vllm-sr
/
d3-ultra

Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
object-detection
custom_code
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

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

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

Serving with vllm-sr

#2 opened about 2 hours ago by
xfalcox

Inquiry regarding official FP8 quantization and standard vLLM support for d3-ultra

1
#1 opened 1 day ago by
leiqin123
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