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/AFTABAUTO/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AFTABAUTO/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/AFTABAUTO/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AFTABAUTO/forecast_next_30.csv
388 Bytes
| step_ahead,prediction | |
| 1,36.62149 | |
| 2,36.258713 | |
| 3,36.177197 | |
| 4,36.50962 | |
| 5,36.60686 | |
| 6,36.73372 | |
| 7,36.00046 | |
| 8,36.37721 | |
| 9,36.798607 | |
| 10,36.52221 | |
| 11,36.92156 | |
| 12,36.384052 | |
| 13,37.210598 | |
| 14,37.77164 | |
| 15,36.93896 | |
| 16,37.482548 | |
| 17,37.765656 | |
| 18,36.7895 | |
| 19,36.908863 | |
| 20,36.845875 | |
| 21,37.613407 | |
| 22,37.031868 | |
| 23,36.615665 | |
| 24,37.16736 | |
| 25,37.46778 | |
| 26,37.11983 | |
| 27,37.184715 | |
| 28,37.303238 | |
| 29,37.328434 | |
| 30,37.443672 | |