How to use jsebdev/apple_stock_predictor 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://jsebdev/apple_stock_predictor")
https://huggingface.co/jsebdev/apple_stock_predictor/resolve/main/model.png
hf download hf://jsebdev/apple_stock_predictor/model.png
curl -L -o model.png https://huggingface.co/jsebdev/apple_stock_predictor/resolve/main/model.png
