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/ASIAPACINS/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ASIAPACINS/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/ASIAPACINS/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ASIAPACINS/forecast_next_15.csv
198 Bytes
| step_ahead,prediction | |
| 1,33.67129 | |
| 2,33.929806 | |
| 3,33.68327 | |
| 4,33.662685 | |
| 5,33.986515 | |
| 6,33.916897 | |
| 7,34.15003 | |
| 8,33.994164 | |
| 9,34.002335 | |
| 10,33.52631 | |
| 11,33.5842 | |
| 12,33.69986 | |
| 13,33.8273 | |
| 14,33.514072 | |
| 15,33.27258 | |