# Hugging Face — Yes, Transformers are Effective for Time Series Forecasting (+ Autoformer)

- Company: Hugging Face (huggingface.co)
- Announced: 2023-06-16
- Category: developer-tool-release
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://huggingface.co/blog/autoformer
- Record: https://forck.live/items/2039-yes-transformers-are-effective-for-time-series-forecasting-autoformer
- Subject: Platform
- Models affected: Autoformer

The blog post argues that Transformers are effective for time series forecasting, introduces the Autoformer model, and announces that Autoformer is now available in the 🤗 Transformers library. It also presents benchmark results showing Autoformer outperforming DLinear.

## Evidence

Verbatim from https://huggingface.co/blog/autoformer:

> the Autoformer model is now available in 🤗 Transformers.

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Record: https://forck.live/items/2039-yes-transformers-are-effective-for-time-series-forecasting-autoformer
Catalogue: https://forck.live/llms.txt
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