How to use jsebdev/apple_stock_predictor with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" 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
