Instructions to use MITCriticalData/Sentinel-2_ViT_Autoencoder_12Bands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MITCriticalData/Sentinel-2_ViT_Autoencoder_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_ViT_Autoencoder_12Bands") - Notebooks
- Google Colab
- Kaggle
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Push Keras model using huggingface_hub. (#1)
- Push Keras model using huggingface_hub. (10eb8aa6134ac3f143490bdb2c9d7a8251e3848d) Co-authored-by: David Restrepo <dsrestrepo@users.noreply.huggingface.co>caf5e61 -
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