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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Skyflocka/keras-nested-lambda-bypass-poc") - Notebooks
- Google Colab
- Kaggle
Download nested_lambda_exec.keras from Skyflocka/keras-nested-lambda-bypass-poc: direct link, hf CLI and curl.
- Browser
- Download file 18.2 kB
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https://huggingface.co/Skyflocka/keras-nested-lambda-bypass-poc/resolve/main/nested_lambda_exec.keras
- Command line
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hf download hf://Skyflocka/keras-nested-lambda-bypass-poc/nested_lambda_exec.keras
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curl -L -o nested_lambda_exec.keras https://huggingface.co/Skyflocka/keras-nested-lambda-bypass-poc/resolve/main/nested_lambda_exec.keras
18.2 kB
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