Update README.md
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@@ -9,8 +9,10 @@ model developed by Google Research for time-series forecasting.
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* All checkpoints:
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[TimesFM Hugging Face Collection](https://huggingface.co/collections/google/timesfm-release-66e4be5fdb56e960c1e482a6).
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* [Google Research blog](https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/).
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* [TimesFM in BigQuery](https://cloud.google.com/bigquery/docs/timesfm-model):
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an official Google product.
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* TimesFM in Google 1P Products:
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* [BigQuery ML](https://cloud.google.com/bigquery/docs/timesfm-model): Enterprise level SQL queries for scalability and reliability.
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* [Google Sheets](https://workspaceupdates.googleblog.com/2026/02/forecast-data-in-connected-sheets-BigQueryML-TimesFM.html): For your daily spreadsheet.
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* [Vertex Model Garden](https://pantheon.corp.google.com/vertex-ai/publishers/google/model-garden/timesfm): Dockerized endpoint for agentic calling.
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This open version is not an officially supported Google product.
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@@ -28,6 +30,8 @@ Added fine-tuning example using HuggingFace Transformers + PEFT (LoRA) — see
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[`timesfm-forecasting/examples/finetuning/`](timesfm-forecasting/examples/finetuning/).
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Also added unit tests (`tests/`) and incorporated several community fixes.
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Shoutout to [@kashif](https://github.com/kashif) and [@darkpowerxo](https://github.com/darkpowerxo).
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## Update - Mar. 19, 2026
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Huge shoutout to [@borealBytes](https://github.com/borealBytes) for adding the support for [AGENTS](https://github.com/google-research/timesfm/blob/master/AGENTS.md)! TimesFM [SKILL.md](https://github.com/google-research/timesfm/tree/master/timesfm-forecasting) is out.
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