Instructions to use MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_12Bands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_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_Autoencoder_12Bands") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`.
#2
by Wauplin HF Staff - opened