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/ACTIVEFINE/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 402 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ACTIVEFINE/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ACTIVEFINE/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ACTIVEFINE/forecast_next_30.csv
402 Bytes
| step_ahead,prediction | |
| 1,11.007378 | |
| 2,11.603277 | |
| 3,11.800423 | |
| 4,11.464179 | |
| 5,10.381212 | |
| 6,10.968854 | |
| 7,11.173752 | |
| 8,10.869896 | |
| 9,12.0214615 | |
| 10,10.71604 | |
| 11,12.374467 | |
| 12,10.582899 | |
| 13,13.154075 | |
| 14,11.910722 | |
| 15,12.463369 | |
| 16,11.46612 | |
| 17,11.569552 | |
| 18,11.286813 | |
| 19,11.165888 | |
| 20,11.774027 | |
| 21,11.686323 | |
| 22,11.674252 | |
| 23,10.6609745 | |
| 24,11.736047 | |
| 25,12.538294 | |
| 26,12.217644 | |
| 27,11.89212 | |
| 28,11.354549 | |
| 29,11.337819 | |
| 30,12.512324 | |