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/ACMELAB/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 377 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ACMELAB/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ACMELAB/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ACMELAB/forecast_next_30.csv
377 Bytes
| step_ahead,prediction | |
| 1,77.10075 | |
| 2,76.90055 | |
| 3,77.18244 | |
| 4,76.802826 | |
| 5,77.0014 | |
| 6,76.56309 | |
| 7,77.19459 | |
| 8,77.03955 | |
| 9,76.62221 | |
| 10,75.87356 | |
| 11,77.19101 | |
| 12,76.10649 | |
| 13,77.84228 | |
| 14,76.87968 | |
| 15,76.969025 | |
| 16,75.65072 | |
| 17,76.46304 | |
| 18,76.16445 | |
| 19,77.00506 | |
| 20,76.56455 | |
| 21,76.08932 | |
| 22,76.58738 | |
| 23,76.39373 | |
| 24,76.943825 | |
| 25,76.34858 | |
| 26,76.643974 | |
| 27,76.333405 | |
| 28,76.37803 | |
| 29,77.44372 | |
| 30,76.14565 | |