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:
- 387d102d9c2492232c52ed4ccbf0200fbc26309969ce1f5e925860de954003ac
- Size of remote file:
- 3.88 MB
- SHA256:
- f56a77ce68f801672921aa1e4b2653f8ffce2e1b4f8f6db4081c6158a90d2364
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