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")
a098974
1
2
3
4
5
6
7
8
9
step_ahead,prediction 1,76.86389361886692 2,77.04810577172927 3,75.97872498603168 4,75.50306787252926 5,75.29799435127104 6,74.57682482185464 7,75.17350005138574
