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phpthinh
/
pho2e-5

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

Instructions to use phpthinh/pho2e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use phpthinh/pho2e-5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="phpthinh/pho2e-5")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("phpthinh/pho2e-5")
    model = AutoModel.from_pretrained("phpthinh/pho2e-5")
  • Notebooks
  • Google Colab
  • Kaggle
pho2e-5
347 MB
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  • 1 contributor
History: 3 commits
phpthinh's picture
phpthinh
Upload processor
043ba8c verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload model over 1 year ago
  • config.json
    1.46 MB
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  • model.safetensors
    346 MB
    xet
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  • preprocessor_config.json
    578 Bytes
    Upload processor over 1 year ago