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/AIBL1STIMF/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 389 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AIBL1STIMF/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/AIBL1STIMF/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AIBL1STIMF/forecast_next_30.csv
389 Bytes
| step_ahead,prediction | |
| 1,6.4635825 | |
| 2,6.540308 | |
| 3,6.5703726 | |
| 4,6.5396094 | |
| 5,6.495995 | |
| 6,6.554332 | |
| 7,6.591571 | |
| 8,6.5113783 | |
| 9,6.5691724 | |
| 10,6.4889083 | |
| 11,6.4750247 | |
| 12,6.5360603 | |
| 13,6.5072746 | |
| 14,6.529338 | |
| 15,6.5339646 | |
| 16,6.5153375 | |
| 17,6.5687184 | |
| 18,6.5721827 | |
| 19,6.52892 | |
| 20,6.6048317 | |
| 21,6.5193667 | |
| 22,6.52436 | |
| 23,6.5798116 | |
| 24,6.5351787 | |
| 25,6.5400486 | |
| 26,6.5362277 | |
| 27,6.60744 | |
| 28,6.5379395 | |
| 29,6.490293 | |
| 30,6.51324 | |