Instructions to use mervess/FCD-Solar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mervess/FCD-Solar 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://mervess/FCD-Solar") - Notebooks
- Google Colab
- Kaggle
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## Uses
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The model takes 48 real numbers (of Fourier components, combined real and imaginary) as input, and reconstructs a 128x128 image corresponding to them.
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## How to Get Started with the Model
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## Uses
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The model takes 48 real numbers (of Fourier components, combined 24 real and 24 imaginary) as input at the code level, and reconstructs a 128x128 image corresponding to them.
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## How to Get Started with the Model
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