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/ACI/forecast_next_15.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 338 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ACI/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/gru/models/ACI/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/gru/resolve/main/models/ACI/forecast_next_15.csv
338 Bytes
| step_ahead,prediction | |
| 1,161.55877117045367 | |
| 2,156.1881289283704 | |
| 3,156.40419215141776 | |
| 4,156.21074863896558 | |
| 5,159.05773834054864 | |
| 6,154.20182473963658 | |
| 7,154.9541155890824 | |
| 8,157.0082157701444 | |
| 9,157.1597188980527 | |
| 10,155.1824594365841 | |
| 11,155.44036833498933 | |
| 12,151.23144475352976 | |
| 13,152.47963290099253 | |
| 14,158.22556029269234 | |
| 15,154.90395129021883 | |