Instructions to use kyLELEng/patchtst-cross-sectional-return-forecast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyLELEng/patchtst-cross-sectional-return-forecast with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSTForPrediction tokenizer = AutoTokenizer.from_pretrained("kyLELEng/patchtst-cross-sectional-return-forecast") model = PatchTSTForPrediction.from_pretrained("kyLELEng/patchtst-cross-sectional-return-forecast") - Notebooks
- Google Colab
- Kaggle
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