Probabilistic Time Series Forecasting with 🤗 Transformers

1. 1Set up environment with required libraries
2. 2Load and preprocess time series dataset
3. 3Define and train a Time Series Transformer model
4. 4Evaluate model performance using metrics such as mean absolute error and mean squared error

Data scientists and machine learning engineers can benefit from this approach to improve forecasting accuracy and uncertainty estimation in time series data

💡 Transformers can be used for probabilistic time series forecasting, allowing for uncertainty estimation and improved accuracy

📈 Use Transformers for probabilistic time series forecasting! 🤖