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/AIL/forecast_next_15.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 325 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/AIL/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/gru/models/AIL/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/gru/resolve/main/models/AIL/forecast_next_15.csv
325 Bytes
| step_ahead,prediction | |
| 1,78.91426201941032 | |
| 2,77.94753742151727 | |
| 3,78.01010873093611 | |
| 4,78.43988448278763 | |
| 5,78.8761348936506 | |
| 6,76.50530925934737 | |
| 7,77.63061181994549 | |
| 8,77.51813274696087 | |
| 9,77.77563479823793 | |
| 10,77.2855142007383 | |
| 11,77.67558041675551 | |
| 12,76.74982787055144 | |
| 13,75.9468848480077 | |
| 14,75.90771273446286 | |
| 15,76.11627097009023 | |