Instructions to use MITCriticalData/Sentinel-2_ViT_Autoencoder_RGB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MITCriticalData/Sentinel-2_ViT_Autoencoder_RGB with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MITCriticalData/Sentinel-2_ViT_Autoencoder_RGB") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0876fc85566cfc906c9f7d028ec04e30e82c64770654bbc58d921f8c1010e1ec
- Size of remote file:
- 349 MB
- SHA256:
- 2e3a52183bf2926576a1230d28d1cab5fcc7b49a34ceb36a31f82bc5bab0478b
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