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isp-uv-es
/
superIX

Image-to-Image
TF-Keras
ONNX
English
Sentinel-2
sentinel2
S2
super-resolution
Model card Files Files and versions
xet
Community
1

Instructions to use isp-uv-es/superIX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • TF-Keras

    How to use isp-uv-es/superIX with TF-Keras:

    # Note: 'keras<3.x' or 'tf_keras' must be installed (legacy)
    # See https://github.com/keras-team/tf-keras for more details.
    from huggingface_hub import from_pretrained_keras
    
    model = from_pretrained_keras("isp-uv-es/superIX")
    
  • Notebooks
  • Google Colab
  • Kaggle
superIX / ldm_baseline
Ctrl+K
Ctrl+K
  • 4 contributors
History: 8 commits
csaybar's picture
csaybar
Upload ldm_baseline.zip
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  • results
    up almost 2 years ago
  • ldm_baseline.zip

    Pickle imports

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    923 MB
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    Upload ldm_baseline.zip almost 2 years ago
  • metadata.json
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  • run.py
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    Update ldm_baseline/run.py almost 2 years ago
  • utils.py
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    benchmark script almost 2 years ago