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/APEXSPINN/forecast_next_30.csv from StockCast/gru: direct link, hf CLI and curl.
- Browser
- Download file 639 Bytes
-
https://huggingface.co/StockCast/gru/resolve/main/models/APEXSPINN/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/gru/models/APEXSPINN/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/gru/resolve/main/models/APEXSPINN/forecast_next_30.csv
639 Bytes
| step_ahead,prediction | |
| 1,94.6191200748086 | |
| 2,94.58317210003734 | |
| 3,95.03601629137994 | |
| 4,95.25921341180802 | |
| 5,95.01081823408605 | |
| 6,95.35674619078637 | |
| 7,94.6117361664772 | |
| 8,94.50056384205818 | |
| 9,94.75231876075269 | |
| 10,93.99259733334183 | |
| 11,94.53199246376754 | |
| 12,94.00651894658805 | |
| 13,94.04915506243707 | |
| 14,94.88904016017914 | |
| 15,94.48738814145327 | |
| 16,94.28590397387744 | |
| 17,94.11996661797166 | |
| 18,94.22982262596489 | |
| 19,93.42785370945931 | |
| 20,94.03838634043932 | |
| 21,93.77606328129768 | |
| 22,94.41878925114871 | |
| 23,93.50493970662356 | |
| 24,93.96489827483893 | |
| 25,93.97658215016126 | |
| 26,93.7453554995358 | |
| 27,93.7843748793006 | |
| 28,93.17231908217073 | |
| 29,93.21246046498418 | |
| 30,93.47628161758185 | |