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/APEXWEAV/forecast_next_30.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 663 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/APEXWEAV/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/gru/models/APEXWEAV/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/gru/resolve/main/models/APEXWEAV/forecast_next_30.csv
663 Bytes
| step_ahead,prediction | |
| 1,8.83287810087204 | |
| 2,9.619415938854218 | |
| 3,11.628949356079103 | |
| 4,11.112556743621827 | |
| 5,9.91780836582184 | |
| 6,10.560498905181886 | |
| 7,12.467905497550966 | |
| 8,11.102316284179688 | |
| 9,11.833542251586914 | |
| 10,12.338056755065919 | |
| 11,12.012192821502687 | |
| 12,11.554195547103882 | |
| 13,10.89061725139618 | |
| 14,10.312668263912201 | |
| 15,12.236112427711488 | |
| 16,12.530917024612428 | |
| 17,9.970385348796846 | |
| 18,10.89599883556366 | |
| 19,11.306006026268006 | |
| 20,12.748808097839357 | |
| 21,12.131401991844179 | |
| 22,12.061066102981568 | |
| 23,12.040572953224183 | |
| 24,11.599156236648561 | |
| 25,14.143394780158998 | |
| 26,10.86368100643158 | |
| 27,12.493321895599365 | |
| 28,12.10314416885376 | |
| 29,12.670771908760072 | |
| 30,12.451400899887085 | |