minor changes to readme links
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@@ -5,16 +5,16 @@ Research for time-series forecasting.
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* Paper: [A decoder-only foundation model for time-series forecasting](https://arxiv.org/abs/2310.10688), to appear in ICML 2024.
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* [Google Research blog](https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/)
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* [Hugging Face checkpoint repo](https://huggingface.co/google/timesfm-1.0-200m)
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* [Hugging Face release](https://huggingface.co/collections/google/timesfm-release-66e4be5fdb56e960c1e482a6)
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This repo contains the code to load public TimesFM checkpoints and run model
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inference. Please visit our
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[Hugging Face checkpoint repo](https://huggingface.co/google/timesfm-1.0-200m)
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[Hugging Face release](https://huggingface.co/collections/google/timesfm-release-66e4be5fdb56e960c1e482a6)
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to download model checkpoints.
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This is not an officially supported Google product.
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We recommend at least 16GB RAM to load TimesFM dependencies.
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We recommend at least 32GB RAM to load TimesFM dependencies.
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## Update - Dec. 30, 2024
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- We are launching a 500m checkpoint as a part of TimesFM-2.0 release.
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