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/AAMRATECH/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 400 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AAMRATECH/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/AAMRATECH/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AAMRATECH/forecast_next_30.csv
400 Bytes
| step_ahead,prediction | |
| 1,13.2547 | |
| 2,13.443875 | |
| 3,13.458146 | |
| 4,13.001865 | |
| 5,14.189045 | |
| 6,14.534832 | |
| 7,13.649309 | |
| 8,13.944185 | |
| 9,14.988765 | |
| 10,14.2286215 | |
| 11,13.528642 | |
| 12,14.602188 | |
| 13,14.389119 | |
| 14,14.02829 | |
| 15,14.358543 | |
| 16,14.31822 | |
| 17,14.363311 | |
| 18,14.047748 | |
| 19,15.468975 | |
| 20,14.797729 | |
| 21,15.1286955 | |
| 22,15.182863 | |
| 23,16.090675 | |
| 24,14.593376 | |
| 25,14.942342 | |
| 26,14.919715 | |
| 27,15.926909 | |
| 28,15.142878 | |
| 29,15.569404 | |
| 30,15.43681 | |