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_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 400 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ASIAINS/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ASIAINS/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ASIAINS/forecast_next_30.csv
400 Bytes
| step_ahead,prediction | |
| 1,28.82833 | |
| 2,29.008654 | |
| 3,28.681265 | |
| 4,29.220186 | |
| 5,28.837162 | |
| 6,29.134571 | |
| 7,29.182112 | |
| 8,28.864037 | |
| 9,28.738668 | |
| 10,28.731203 | |
| 11,28.693521 | |
| 12,28.955423 | |
| 13,29.205738 | |
| 14,28.983727 | |
| 15,28.887226 | |
| 16,28.838806 | |
| 17,28.928005 | |
| 18,29.029552 | |
| 19,29.147223 | |
| 20,29.136728 | |
| 21,28.925014 | |
| 22,28.848299 | |
| 23,28.79609 | |
| 24,28.887045 | |
| 25,28.771488 | |
| 26,29.121395 | |
| 27,28.708984 | |
| 28,28.819845 | |
| 29,28.83314 | |
| 30,29.059189 | |