Instructions to use th3-j0k3r/modelscan-keras-nested-lambda-bypass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use th3-j0k3r/modelscan-keras-nested-lambda-bypass 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://th3-j0k3r/modelscan-keras-nested-lambda-bypass") - Notebooks
- Google Colab
- Kaggle
Download model.keras from th3-j0k3r/modelscan-keras-nested-lambda-bypass: direct link, hf CLI and curl.
- Browser
- Download file 18.2 kB
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https://huggingface.co/th3-j0k3r/modelscan-keras-nested-lambda-bypass/resolve/main/model.keras
- Command line
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hf download hf://th3-j0k3r/modelscan-keras-nested-lambda-bypass/model.keras
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curl -L -o model.keras https://huggingface.co/th3-j0k3r/modelscan-keras-nested-lambda-bypass/resolve/main/model.keras
18.2 kB
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