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/ALIF/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/ALIF/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ALIF/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ALIF/forecast_next_30.csv
388 Bytes
| step_ahead,prediction | |
| 1,5.505784 | |
| 2,5.7560277 | |
| 3,5.8543506 | |
| 4,5.999592 | |
| 5,5.47419 | |
| 6,6.0356503 | |
| 7,6.2037616 | |
| 8,7.074744 | |
| 9,6.2897024 | |
| 10,5.934381 | |
| 11,5.559321 | |
| 12,6.3553534 | |
| 13,7.375673 | |
| 14,6.4493384 | |
| 15,5.3871565 | |
| 16,5.7958026 | |
| 17,5.937234 | |
| 18,5.8585305 | |
| 19,5.817224 | |
| 20,7.0550985 | |
| 21,6.32106 | |
| 22,7.351153 | |
| 23,6.883386 | |
| 24,6.766779 | |
| 25,6.0690265 | |
| 26,6.8575764 | |
| 27,6.5533514 | |
| 28,7.5555515 | |
| 29,6.6693625 | |
| 30,5.5924363 | |