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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+library_name: timesfm
+pipeline_tag: time-series-forecasting
+---
+
+# TimesFM
+
+TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
+
+**Resources and Technical Documentation**:
+* Paper: [A decoder-only foundation model for time-series forecasting](https://arxiv.org/abs/2310.10688), ICML 2024.
+* [Google Research blog](https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/)
+* [GitHub repo](https://github.com/google-research/timesfm)
+
+**Authors**: Google Research
+
+This checkpoint is not an officially supported Google product. See [TimesFM in BigQuery](https://cloud.google.com/bigquery/docs/timesfm-model) for Google official support.
+
+## Checkpoint `timesfm-2.5-200m`
+
+`timesfm-2.5-200m` is the third open model checkpoint.
+
+### Data
+
+`timesfm-2.5-200m` is pretrained using
+
+- [GiftEvalPretrain](https://huggingface.co/datasets/Salesforce/GiftEvalPretrain)
+- [Wikimedia Pageviews](https://meta.wikimedia.org/wiki/Pageviews_Analysis), cutoff EoY 2022.
+- [Google Trends](https://trends.google.com/trends/) top queries, cutoff EoY 2022 (see [paper](https://arxiv.org/abs/2310.10688) for details).
+- Synthetic data.