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caidas
/
swin2SR-classical-sr-x4-64

Image-to-Image
Transformers
PyTorch
Safetensors
swin2sr
vision
Model card Files Files and versions
xet
Community
1

Instructions to use caidas/swin2SR-classical-sr-x4-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use caidas/swin2SR-classical-sr-x4-64 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-to-image", model="caidas/swin2SR-classical-sr-x4-64")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageToImage
    
    processor = AutoImageProcessor.from_pretrained("caidas/swin2SR-classical-sr-x4-64")
    model = AutoModelForImageToImage.from_pretrained("caidas/swin2SR-classical-sr-x4-64", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
swin2SR-classical-sr-x4-64
98.3 MB
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  • 2 contributors
History: 6 commits
nielsr's picture
nielsr HF Staff
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
c69ef3e verified over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 4 years ago
  • README.md
    642 Bytes
    Update README.md over 3 years ago
  • config.json
    772 Bytes
    Upload Swin2SRForImageSuperResolution almost 4 years ago
  • model.safetensors
    49.1 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • preprocessor_config.json
    152 Bytes
    Upload processor almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    49.2 MB
    xet
    Upload Swin2SRForImageSuperResolution almost 4 years ago