Instructions to use mkiani/keras-python3.10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mkiani/keras-python3.10 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://mkiani/keras-python3.10") - Notebooks
- Google Colab
- Kaggle
Upload unsafe_model.h5 with huggingface_hub
Browse files- unsafe_model.h5 +3 -0
unsafe_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:74b6cda2529000246cc59e8534e6c1bafb8b2a192783550a3f6258f32d37703c
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size 425040
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