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princepride
/
MiniCPM-V-2_6-VPM

Feature Extraction
Transformers
Safetensors
siglip_vision_model
custom_code
Model card Files Files and versions
xet
Community

Instructions to use princepride/MiniCPM-V-2_6-VPM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use princepride/MiniCPM-V-2_6-VPM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="princepride/MiniCPM-V-2_6-VPM", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("princepride/MiniCPM-V-2_6-VPM", trust_remote_code=True)
    model = AutoModel.from_pretrained("princepride/MiniCPM-V-2_6-VPM", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
MiniCPM-V-2_6-VPM
836 MB
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  • 1 contributor
History: 9 commits
princepride's picture
princepride
Update README.md
32c98ba verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    860 Bytes
    Update README.md over 1 year ago
  • config.json
    650 Bytes
    Update config.json over 1 year ago
  • image_processing_minicpmv.py
    16.6 kB
    Upload image_processing_minicpmv.py over 1 year ago
  • model.safetensors
    836 MB
    xet
    Upload SiglipVisionTransformer over 1 year ago
  • modeling_navit_siglip.py
    41.8 kB
    Upload modeling_navit_siglip.py over 1 year ago
  • preprocessor_config.json
    714 Bytes
    Upload 3 files over 1 year ago
  • processing_minicpmv.py
    8.77 kB
    Upload 3 files over 1 year ago