How to use MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands 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_Resnet50V2_VariationalAutoencoder_12Bands")
https://huggingface.co/MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands/resolve/refs%2Fpr%2F2/variables/variables.index
hf download hf://MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands@refs/pr/2/variables/variables.index
curl -L -o variables.index https://huggingface.co/MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_12Bands/resolve/refs%2Fpr%2F2/variables/variables.index
