Instructions to use MITCriticalData/Sentinel-2_ViT_Autoencoder_RGB_full_Colombia_Dataset 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_full_Colombia_Dataset 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_full_Colombia_Dataset") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a2a2f6010b22d374519fb26b24867d735fbb5f7e429e04d90e86c808facdde7
- Size of remote file:
- 15.9 MB
- SHA256:
- d534302dc73b58f3457a242c44b9210d392c590564f05d416eaafb96abf6788c
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