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/ASIAPACINS/forecast_next_15.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 334 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ASIAPACINS/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/gru/models/ASIAPACINS/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/gru/resolve/main/models/ASIAPACINS/forecast_next_15.csv
334 Bytes
| step_ahead,prediction | |
| 1,31.08345610560775 | |
| 2,30.980708903205397 | |
| 3,30.552713224077227 | |
| 4,31.176221167743208 | |
| 5,30.875037657251955 | |
| 6,30.31287140559554 | |
| 7,30.21359968799055 | |
| 8,30.70408911472559 | |
| 9,30.49210034772754 | |
| 10,30.46773858668208 | |
| 11,30.67310303399563 | |
| 12,30.24150718112588 | |
| 13,30.367558922821285 | |
| 14,30.361292864328625 | |
| 15,30.26307661229372 | |