How to use StockCast/seperate 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/seperate")
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step_ahead,prediction 1,7.6088924 2,7.643867 3,7.6184034 4,7.680037 5,7.6907654 6,7.6917715 7,7.659083 8,7.672897 9,7.708183 10,7.69847 11,7.7958183 12,7.682684 13,7.7502546 14,7.762144 15,7.728016
