Instructions to use ericyoc/the_applied_ai_universe_coding_guide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ericyoc/the_applied_ai_universe_coding_guide with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ericyoc/the_applied_ai_universe_coding_guide") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67129137cc27645a6d70298e7f5ca2a8aaca99cf0d957ac0fadd7e965fb69ce6
- Size of remote file:
- 1.04 kB
- SHA256:
- c1f768747e5a815ba3f7b5950ecc7951db40fc1407f68efd526e62153a594d49
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