How to use EnigmaConsultant/huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier 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://EnigmaConsultant/huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier")
https://huggingface.co/EnigmaConsultant/huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier/resolve/main/control_lambda.keras
hf download hf://EnigmaConsultant/huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier/control_lambda.keras
curl -L -o control_lambda.keras https://huggingface.co/EnigmaConsultant/huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier/resolve/main/control_lambda.keras
