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/AMBEEPHA/forecast_next_15.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 326 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/AMBEEPHA/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/gru/models/AMBEEPHA/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/gru/resolve/main/models/AMBEEPHA/forecast_next_15.csv
326 Bytes
| step_ahead,prediction | |
| 1,696.0937314033508 | |
| 2,709.295257845521 | |
| 3,696.4037958443165 | |
| 4,703.8472266018391 | |
| 5,696.155673635006 | |
| 6,691.0440263926984 | |
| 7,706.4763563811779 | |
| 8,685.7011556297541 | |
| 9,688.9898053109646 | |
| 10,693.6212824970484 | |
| 11,705.7919300496578 | |
| 12,681.7522206008434 | |
| 13,686.0456651329995 | |
| 14,688.4201958537102 | |
| 15,707.6819924414158 | |