Instructions to use StockCast/seperate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use StockCast/seperate 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/seperate") - Notebooks
- Google Colab
- Kaggle
Download models/AIL/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 386 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AIL/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/AIL/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AIL/forecast_next_30.csv
386 Bytes
| step_ahead,prediction | |
| 1,49.49855 | |
| 2,48.896973 | |
| 3,49.676403 | |
| 4,50.039032 | |
| 5,48.91882 | |
| 6,49.41763 | |
| 7,49.264496 | |
| 8,49.327152 | |
| 9,49.291714 | |
| 10,49.29404 | |
| 11,49.16594 | |
| 12,49.64665 | |
| 13,48.937443 | |
| 14,49.341892 | |
| 15,49.26306 | |
| 16,49.470444 | |
| 17,48.890602 | |
| 18,48.566944 | |
| 19,49.18096 | |
| 20,48.68125 | |
| 21,48.25309 | |
| 22,48.554348 | |
| 23,48.35121 | |
| 24,47.441 | |
| 25,48.21573 | |
| 26,48.835773 | |
| 27,48.34001 | |
| 28,47.68755 | |
| 29,47.279022 | |
| 30,47.860554 | |