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robertsw
/
aesthetics_overtrained

Image Classification
Transformers
Safetensors
dinov2
Model card Files Files and versions
xet
Community

Instructions to use robertsw/aesthetics_overtrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use robertsw/aesthetics_overtrained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="robertsw/aesthetics_overtrained")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("robertsw/aesthetics_overtrained")
    model = AutoModelForImageClassification.from_pretrained("robertsw/aesthetics_overtrained")
  • Notebooks
  • Google Colab
  • Kaggle
aesthetics_overtrained
4.55 GB
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  • 1 contributor
History: 2 commits
robertsw's picture
robertsw
Upload Dinov2ForImageClassification
044c499 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload Dinov2ForImageClassification about 2 years ago
  • config.json
    4.08 kB
    Upload Dinov2ForImageClassification about 2 years ago
  • model.safetensors
    4.55 GB
    xet
    Upload Dinov2ForImageClassification about 2 years ago