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")
807e481
1
2
3
4
5
6
7
8
9
step_ahead,prediction 1,1046.5708 2,1069.3916 3,1047.396 4,1067.786 5,1052.0797 6,1048.0896 7,1067.3903
