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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://mervess/FCD-Solar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7ab9061724fc7ab9b7b73085be1c1ad88d6ec852a193ce3cb47c087fc86ff1f
- Size of remote file:
- 320 Bytes
- SHA256:
- 3e693c31f4eab864f8e569e06a8b9a319e2f6560cf85ee0292ad54dbda91ea9c
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