Instructions to use Skyflocka/keras-nested-lambda-bypass-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Skyflocka/keras-nested-lambda-bypass-poc with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Skyflocka/keras-nested-lambda-bypass-poc") - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "file": "tmp_poc/top_lambda_exec.keras", | |
| "top_layers": [ | |
| "InputLayer", | |
| "Lambda" | |
| ], | |
| "top_has_lambda": true, | |
| "recursive_lambda_count": 1 | |
| }, | |
| { | |
| "file": "tmp_poc/nested_lambda_exec.keras", | |
| "top_layers": [ | |
| "InputLayer", | |
| "Functional" | |
| ], | |
| "top_has_lambda": false, | |
| "recursive_lambda_count": 1 | |
| } | |
| ] |