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MiniMaxAI
/
VTP-Large-f16d64

Image Feature Extraction
Transformers
Safetensors
English
vtp
Model card Files Files and versions
xet
Community

Instructions to use MiniMaxAI/VTP-Large-f16d64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MiniMaxAI/VTP-Large-f16d64 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="MiniMaxAI/VTP-Large-f16d64")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MiniMaxAI/VTP-Large-f16d64", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
VTP-Large-f16d64
2.93 GB
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  • 1 contributor
History: 8 commits
MapleF9's picture
MapleF9
modified mit
d1726ca 5 months ago
  • figures
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  • .gitattributes
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  • README.md
    13.5 kB
    modified mit 5 months ago
  • config.json
    1.27 kB
    update vtp-l 5 months ago
  • model.safetensors
    2.93 GB
    xet
    update vtp-l 5 months ago