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/APOLOISPAT/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 384 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/APOLOISPAT/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/APOLOISPAT/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/APOLOISPAT/forecast_next_30.csv
384 Bytes
| step_ahead,prediction | |
| 1,3.955857 | |
| 2,4.002112 | |
| 3,4.3908906 | |
| 4,4.012607 | |
| 5,4.096055 | |
| 6,3.9975288 | |
| 7,4.08179 | |
| 8,4.059897 | |
| 9,3.012342 | |
| 10,4.179062 | |
| 11,3.9445295 | |
| 12,4.291492 | |
| 13,4.176717 | |
| 14,3.7335606 | |
| 15,3.5699217 | |
| 16,4.4334474 | |
| 17,3.9804425 | |
| 18,4.3694725 | |
| 19,3.75878 | |
| 20,4.4824495 | |
| 21,3.9613256 | |
| 22,3.3178058 | |
| 23,4.180216 | |
| 24,4.347381 | |
| 25,4.1602917 | |
| 26,4.038417 | |
| 27,4.6084394 | |
| 28,4.12833 | |
| 29,4.164626 | |
| 30,4.1990547 | |