How to use StockCast/gru 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://StockCast/gru")
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step_ahead,prediction 1,27.135115969181058 2,27.168324071168897 3,27.150016391277312 4,26.898969078063963 5,26.878731608390808 6,26.68456856012344 7,26.818544870615003
