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/ALLTEX/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/ALLTEX/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ALLTEX/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ALLTEX/forecast_next_30.csv
400 Bytes
| step_ahead,prediction | |
| 1,11.0119915 | |
| 2,11.027767 | |
| 3,11.043831 | |
| 4,11.034618 | |
| 5,11.076542 | |
| 6,11.00473 | |
| 7,11.0456085 | |
| 8,10.983644 | |
| 9,11.06028 | |
| 10,11.0411825 | |
| 11,11.044119 | |
| 12,11.053419 | |
| 13,11.023186 | |
| 14,11.0796795 | |
| 15,11.127498 | |
| 16,11.1013 | |
| 17,11.077634 | |
| 18,11.05444 | |
| 19,11.0896 | |
| 20,11.116584 | |
| 21,11.079472 | |
| 22,11.044328 | |
| 23,11.049118 | |
| 24,11.081998 | |
| 25,11.128964 | |
| 26,11.083206 | |
| 27,11.122815 | |
| 28,11.089803 | |
| 29,11.130943 | |
| 30,11.028828 | |