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_30.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 662 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ACTIVEFINE/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/gru/models/ACTIVEFINE/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/gru/resolve/main/models/ACTIVEFINE/forecast_next_30.csv
662 Bytes
| step_ahead,prediction | |
| 1,10.085364372975503 | |
| 2,10.734552971945764 | |
| 3,11.266432522706065 | |
| 4,10.491327320172761 | |
| 5,10.489609185052103 | |
| 6,10.33052697603746 | |
| 7,12.267121804392273 | |
| 8,10.050158055420033 | |
| 9,11.01917608597471 | |
| 10,10.241365282957752 | |
| 11,10.929686478932076 | |
| 12,10.787905516993874 | |
| 13,11.319028830140207 | |
| 14,11.14162576269203 | |
| 15,11.52705070873179 | |
| 16,12.52535007849025 | |
| 17,12.173690651656747 | |
| 18,11.704502491634337 | |
| 19,11.62170309895339 | |
| 20,10.6278013384218 | |
| 21,11.809406909598035 | |
| 22,12.542231565906352 | |
| 23,10.976020523308154 | |
| 24,11.478480035449998 | |
| 25,11.20563724915652 | |
| 26,11.442938729330585 | |
| 27,11.353015461657195 | |
| 28,11.643067897561314 | |
| 29,11.23651502793189 | |
| 30,11.51642620945194 | |