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/ACTIVEFINE/forecast_next_15.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 337 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ACTIVEFINE/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/gru/models/ACTIVEFINE/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/gru/resolve/main/models/ACTIVEFINE/forecast_next_15.csv
337 Bytes
| step_ahead,prediction | |
| 1,9.530804520165548 | |
| 2,9.402581472555175 | |
| 3,9.741287553158278 | |
| 4,9.769150062510743 | |
| 5,10.129845244232564 | |
| 6,9.941995473398515 | |
| 7,10.037373258455967 | |
| 8,10.003081798516213 | |
| 9,10.333189384220168 | |
| 10,10.190374785838648 | |
| 11,10.195090690053378 | |
| 12,10.430600682664663 | |
| 13,10.018526769578456 | |
| 14,10.527670662639041 | |
| 15,10.67768000613898 | |