Instructions to use StockCast/gru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
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") - Notebooks
- Google Colab
- Kaggle
Download models/ASIAINS/forecast_next_15.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 336 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ASIAINS/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/gru/models/ASIAINS/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/gru/resolve/main/models/ASIAINS/forecast_next_15.csv
336 Bytes
| step_ahead,prediction | |
| 1,27.181474584341046 | |
| 2,26.93903535604477 | |
| 3,26.817919653654098 | |
| 4,26.944166326522826 | |
| 5,27.17412391901016 | |
| 6,27.203247153759 | |
| 7,27.117669272422788 | |
| 8,26.88747416734695 | |
| 9,26.901655066013333 | |
| 10,27.239310646057127 | |
| 11,27.09606435894966 | |
| 12,27.072824800014494 | |
| 13,27.180260825157163 | |
| 14,27.123387038707733 | |
| 15,26.771391636133192 | |