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/ASIAINS/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 203 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ASIAINS/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/ASIAINS/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ASIAINS/forecast_next_15.csv
203 Bytes
| step_ahead,prediction | |
| 1,28.496643 | |
| 2,28.404678 | |
| 3,28.30959 | |
| 4,28.383665 | |
| 5,28.593033 | |
| 6,28.209555 | |
| 7,28.16047 | |
| 8,28.564787 | |
| 9,28.430775 | |
| 10,28.59147 | |
| 11,28.464535 | |
| 12,28.429003 | |
| 13,28.3995 | |
| 14,28.610317 | |
| 15,28.454191 | |