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 1,15.540642075274823 2,15.70109039628066 3,15.868292771234469 4,15.98681192657055 5,16.15616160768309 6,16.186350606965313 7,16.06889410638676
