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/APEXSPINN/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 398 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/APEXSPINN/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/APEXSPINN/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/APEXSPINN/forecast_next_30.csv
398 Bytes
| step_ahead,prediction | |
| 1,138.27203 | |
| 2,136.51715 | |
| 3,137.56773 | |
| 4,137.36736 | |
| 5,137.16325 | |
| 6,137.1508 | |
| 7,136.96857 | |
| 8,136.32587 | |
| 9,136.84007 | |
| 10,136.46959 | |
| 11,135.6839 | |
| 12,136.45428 | |
| 13,134.4521 | |
| 14,136.64415 | |
| 15,136.8593 | |
| 16,133.96858 | |
| 17,134.21065 | |
| 18,134.12212 | |
| 19,133.85265 | |
| 20,133.53824 | |
| 21,133.75732 | |
| 22,131.55618 | |
| 23,133.4447 | |
| 24,133.08412 | |
| 25,132.52666 | |
| 26,133.22348 | |
| 27,132.73091 | |
| 28,132.47311 | |
| 29,133.63553 | |
| 30,132.25475 | |