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/AMANFEED/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/AMANFEED/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/AMANFEED/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AMANFEED/forecast_next_30.csv
400 Bytes
| step_ahead,prediction | |
| 1,25.149746 | |
| 2,26.416681 | |
| 3,26.854267 | |
| 4,26.439587 | |
| 5,26.548468 | |
| 6,25.629265 | |
| 7,26.164215 | |
| 8,25.956896 | |
| 9,25.728584 | |
| 10,27.862217 | |
| 11,27.688656 | |
| 12,26.663969 | |
| 13,26.347036 | |
| 14,26.129642 | |
| 15,26.671257 | |
| 16,26.419125 | |
| 17,26.944347 | |
| 18,26.47329 | |
| 19,27.137695 | |
| 20,27.561022 | |
| 21,27.863539 | |
| 22,27.47345 | |
| 23,27.461948 | |
| 24,28.347218 | |
| 25,27.689312 | |
| 26,26.79854 | |
| 27,28.016447 | |
| 28,27.929562 | |
| 29,27.912868 | |
| 30,27.501728 | |