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/ASIAINS/forecast_next_30.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 655 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ASIAINS/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/gru/models/ASIAINS/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/gru/resolve/main/models/ASIAINS/forecast_next_30.csv
655 Bytes
| step_ahead,prediction | |
| 1,26.584771358966826 | |
| 2,26.908918410539627 | |
| 3,26.69679172635078 | |
| 4,27.00714034438133 | |
| 5,26.77038744688034 | |
| 6,26.865125280618667 | |
| 7,26.80094099640846 | |
| 8,26.84320601224899 | |
| 9,26.96481944322586 | |
| 10,26.905806297063826 | |
| 11,26.75420690178871 | |
| 12,26.66382812261581 | |
| 13,27.08062080144882 | |
| 14,26.942264479398727 | |
| 15,26.773843604326245 | |
| 16,26.02542833983898 | |
| 17,26.779919385910034 | |
| 18,26.468808457255363 | |
| 19,26.5292789876461 | |
| 20,26.49944496154785 | |
| 21,26.284723103046417 | |
| 22,26.46545097231865 | |
| 23,26.67545576095581 | |
| 24,26.73240813612938 | |
| 25,26.199691849946973 | |
| 26,26.549352294206617 | |
| 27,26.676968157291412 | |
| 28,26.505372297763824 | |
| 29,25.77422996163368 | |
| 30,26.44222713112831 | |