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/ABBANK/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 378 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ABBANK/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ABBANK/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ABBANK/forecast_next_30.csv
378 Bytes
| step_ahead,prediction | |
| 1,8.237851 | |
| 2,7.4092345 | |
| 3,8.102401 | |
| 4,8.425937 | |
| 5,7.218473 | |
| 6,7.862872 | |
| 7,7.2172403 | |
| 8,7.384946 | |
| 9,7.7858233 | |
| 10,8.3331175 | |
| 11,8.009404 | |
| 12,7.076474 | |
| 13,8.891814 | |
| 14,8.021023 | |
| 15,8.13359 | |
| 16,8.055339 | |
| 17,8.244081 | |
| 18,8.959025 | |
| 19,7.0550394 | |
| 20,7.36298 | |
| 21,8.175901 | |
| 22,8.380578 | |
| 23,7.172182 | |
| 24,7.618871 | |
| 25,7.247837 | |
| 26,7.9413023 | |
| 27,7.598197 | |
| 28,8.1398735 | |
| 29,8.545971 | |
| 30,9.349391 | |