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/ATCSLGF/forecast_next_30.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 641 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/ATCSLGF/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/gru/models/ATCSLGF/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/gru/resolve/main/models/ATCSLGF/forecast_next_30.csv
641 Bytes
| step_ahead,prediction | |
| 1,6.879208271205425 | |
| 2,6.987452901899815 | |
| 3,6.97563001960516 | |
| 4,7.323644238710403 | |
| 5,7.03911928832531 | |
| 6,7.215557035803795 | |
| 7,6.897256341576576 | |
| 8,6.798201142251491 | |
| 9,6.86715382039547 | |
| 10,6.502638716250658 | |
| 11,6.799394184350967 | |
| 12,6.884749701619148 | |
| 13,7.249675351381302 | |
| 14,6.7847621306776995 | |
| 15,7.013188049197197 | |
| 16,7.021027149260044 | |
| 17,7.1738360390067095 | |
| 18,7.085659570991993 | |
| 19,6.99310367256403 | |
| 20,7.029645766317844 | |
| 21,7.525818935036659 | |
| 22,7.077582111954689 | |
| 23,6.982791043817997 | |
| 24,7.217823940515518 | |
| 25,7.050143113732338 | |
| 26,7.261345240473747 | |
| 27,7.579454970359802 | |
| 28,7.260111178457737 | |
| 29,7.603474625945092 | |
| 30,7.471169596910476 | |