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/APEXFOOT/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 397 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/APEXFOOT/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/APEXFOOT/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/APEXFOOT/forecast_next_30.csv
397 Bytes
| step_ahead,prediction | |
| 1,222.5292 | |
| 2,222.17754 | |
| 3,222.42273 | |
| 4,222.11008 | |
| 5,222.53511 | |
| 6,222.69926 | |
| 7,222.80655 | |
| 8,222.07843 | |
| 9,222.91035 | |
| 10,222.81499 | |
| 11,221.84718 | |
| 12,222.54733 | |
| 13,222.11877 | |
| 14,222.5239 | |
| 15,222.17255 | |
| 16,221.953 | |
| 17,222.26222 | |
| 18,222.41632 | |
| 19,221.35764 | |
| 20,222.44548 | |
| 21,221.57625 | |
| 22,221.92305 | |
| 23,221.72287 | |
| 24,222.50613 | |
| 25,221.6535 | |
| 26,221.81183 | |
| 27,222.13374 | |
| 28,222.5828 | |
| 29,221.27681 | |
| 30,221.84663 | |