Instructions to use LayerFault/format-keras-custom-lambda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use LayerFault/format-keras-custom-lambda with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://LayerFault/format-keras-custom-lambda") - Notebooks
- Google Colab
- Kaggle
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| { | |
| "path": "CHALLENGE_ORACLE.json", | |
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| { | |
| "path": "FIXTURE_LAYOUT.json", | |
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| "size": 200 | |
| }, | |
| { | |
| "path": "LAYERFAULT_CORPUS.json", | |
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| { | |
| "path": "README.md", | |
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| { | |
| "path": "model.keras", | |
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| "size": 320 | |
| } | |
| ] | |