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shadowlilac
/
aesthetic-shadow

Image Classification
Transformers
PyTorch
Safetensors
vit
anime
quality assurance
dataset maintenance
Model card Files Files and versions
xet
Community
2

Instructions to use shadowlilac/aesthetic-shadow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use shadowlilac/aesthetic-shadow with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="shadowlilac/aesthetic-shadow")
    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("shadowlilac/aesthetic-shadow")
    model = AutoModelForImageClassification.from_pretrained("shadowlilac/aesthetic-shadow")
  • Notebooks
  • Google Colab
  • Kaggle
aesthetic-shadow
8.73 GB
Ctrl+K
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  • 2 contributors
History: 9 commits
shadowlilac's picture
shadowlilac
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
bbd1510 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    852 Bytes
    Update README.md over 2 years ago
  • config.json
    718 Bytes
    Release over 2 years ago
  • inference.ipynb
    4.78 kB
    Update inference.ipynb over 2 years ago
  • model.safetensors
    4.37 GB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • preprocessor_config.json
    329 Bytes
    Release over 2 years ago
  • pytorch_model.bin
    4.37 GB
    xet
    Release over 2 years ago