Hugging Face 整合 PatchTST：專為時間序列預測設計的 Transformer 模型★ 75
Hugging Face Blog864 days agoReleaseThe official Hugging Face blog announced a major update: the integration of the PatchTST (Patch Time Series Transformer) model into its `transformers`…
IBM 輕量級時間序列模型 PatchTSMixer 正式整合至 Hugging Face★ 75
Hugging Face Blog877 days agoReleaseTime series forecasting is critically important in fields such as finance, meteorology, energy, and the Internet of Things. In recent years, while the…
是的，Transformer 在時間序列預測上依然強大（結合 Autoformer）★ 70
Hugging Face Blog1,094 days agoReleaseIn recent years, the academic community has engaged in heated debate over whether Transformers are suitable for time series forecasting — particularly after…
使用 Informer 進行多變量機率時間序列預測
Hugging Face Blog1,192 days agoTutorialTime series forecasting is critically important in domains such as energy consumption, traffic flow, and financial markets. However, traditional Transformer…
使用 🤗 Transformers 進行機率性時間序列預測
Hugging Face Blog1,291 days agoTutorialThis Hugging Face blog article introduces how to use the `TimeSeriesTransformer` in the `transformers` library for "Probabilistic Time Series Forecasting."…