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/ATCSLGF/forecast_next_15.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 330 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ATCSLGF/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/gru/models/ATCSLGF/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/gru/resolve/main/models/ATCSLGF/forecast_next_15.csv
330 Bytes
| step_ahead,prediction | |
| 1,6.922663190960884 | |
| 2,6.9176510006189345 | |
| 3,6.978207622468472 | |
| 4,6.917354160547256 | |
| 5,7.005486975610256 | |
| 6,7.06453958004713 | |
| 7,7.087262257933617 | |
| 8,7.173095878958702 | |
| 9,7.0330511122941965 | |
| 10,7.032950364053249 | |
| 11,7.0987336993217465 | |
| 12,7.176326751708984 | |
| 13,7.207957957684994 | |
| 14,7.122381681203842 | |
| 15,7.184472669661045 | |