Patch Time Series Transformer in Hugging Face
📰 Hugging Face Blog
Hugging Face introduces Patch Time Series Transformer for time series forecasting
Action Steps
- Install the PatchTST library
- Load and prepare a time series dataset
- Configure the PatchTST model
- Train the model for forecasting
Who Needs to Know This
Data scientists and machine learning engineers can benefit from this new model for improving forecasting accuracy in their projects
Key Insight
💡 PatchTST is a new model for time series forecasting that can be used for various applications
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📈 Improve time series forecasting with PatchTST
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