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 1,10.983965 2,11.0662985 3,11.098994 4,11.000418 5,11.077023 6,11.1120205 7,11.150371
