How to use MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands")
https://huggingface.co/MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands/resolve/refs%2Fpr%2F1/variables/variables.index
hf download hf://MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands@refs/pr/1/variables/variables.index
curl -L -o variables.index https://huggingface.co/MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands/resolve/refs%2Fpr%2F1/variables/variables.index
