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/AAMRATECH/forecast_next_15.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 340 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/AAMRATECH/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/gru/models/AAMRATECH/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/gru/resolve/main/models/AAMRATECH/forecast_next_15.csv
340 Bytes
| step_ahead,prediction | |
| 1,15.306939973861107 | |
| 2,15.474005411962779 | |
| 3,15.802872894091578 | |
| 4,15.805274245994092 | |
| 5,16.022610999424018 | |
| 6,15.551439948821239 | |
| 7,15.838945530837437 | |
| 8,15.710475217830256 | |
| 9,16.44543884895029 | |
| 10,16.10636585359472 | |
| 11,15.854371064475172 | |
| 12,15.79134603318526 | |
| 13,16.286555852481598 | |
| 14,16.041531830721944 | |
| 15,15.800068167117841 | |