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vllm-sr
/
d3-FP8

Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
quantized
compressed-tensors
fp8
custom_code
Eval Results
Model card Files Files and versions
xet
Community
1

Instructions to use vllm-sr/d3-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vllm-sr/d3-FP8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-FP8", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("vllm-sr/d3-FP8", trust_remote_code=True)
    model = AutoModel.from_pretrained("vllm-sr/d3-FP8", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
d3-FP8 / d3q
11.7 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
subin's picture
subin
Revert the merge of discussion #1
8acfecc verified 6 days ago
  • __init__.py
    0 Bytes
    Upload d3-FP8 11 days ago
  • kernels.py
    9.78 kB
    Index FP8 activation rows in 64 bits and add Decision Index results 10 days ago
  • load.py
    1.9 kB
    Revert the merge of discussion #1 6 days ago