Instructions to use FPSica/beyond-backscatter-grd-gee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use FPSica/beyond-backscatter-grd-gee with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://FPSica/beyond-backscatter-grd-gee") - Notebooks
- Google Colab
- Kaggle
Upload model.weights.h5 with huggingface_hub
Browse files- model.weights.h5 +3 -0
model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:658845000dd1cbdb34a626850cef41906fa003ff72235f27646148f2af129339
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size 32695552
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