minor changes to readme
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@@ -35,11 +35,6 @@ timesfm-2.0-500m is our second open model checkpoint:
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- It performs univariate time series forecasting for context lengths up to 2048 timepoints and any horizon lengths, with an optional frequency indicator.
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- It focuses on point forecasts. We experimentally offer 10 quantile heads but they have not been calibrated after pretraining.
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## Benchmarks
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Please refer to our result tables on the [extended benchmarks](https://github.com/google-research/timesfm/tree/master/experiments/extended_benchmarks) and the [long horizon benchmarks](https://github.com/google-research/timesfm/tree/master/experiments/long_horizon_benchmarks).
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Please look into the README files in the respective benchmark directories within `experiments/` for instructions for running TimesFM on the respective benchmarks.
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## Installation
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