Instructions to use mkiani/keras-python3.11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mkiani/keras-python3.11 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-python3.11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dd08c8195125a373f44a80b3f77d06b36dffa67fb3360f6bc73787e530387af
- Size of remote file:
- 425 kB
- SHA256:
- 98e67864be42397ab98bb01c6e934577ead5084a8fcc7cb6847981d47923f466
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