Center Model/Params/Weights columns; non-breaking space in latency values

README.md

@@ -122,12 +122,12 @@ For more examples, see the [Quick Start notebook](https://github.com/DataDog/tot
 All five Toto 2.0 sizes share the same training recipe; pick a size based on your accuracy/latency budget. Latency is forward-pass time for a 1,024-step single-pass forecast at batch size 8 on a single A100.
 
 | Model | Params | Weights (fp32) | Latency | Recommended for |
-|---|---|---|---|---|
-| [Toto‑2.0‑4m](https://huggingface.co/Datadog/Toto-2.0-4m)     | 4m   | 16 MB  | ~3.8 ms  | Edge / CPU deployment; tightest latency or memory budgets. |
-| [Toto‑2.0‑22m](https://huggingface.co/Datadog/Toto-2.0-22m)   | 22m  | 84 MB  | ~5.0 ms  | Efficient default — matches or beats Toto 1.0 quality with ~7× fewer parameters. |
-| [Toto‑2.0‑313m](https://huggingface.co/Datadog/Toto-2.0-313m) | 313m | 1.2 GB | ~15.4 ms | Strong general-purpose checkpoint; top-3 foundation model on GIFT-Eval. |
-| [Toto‑2.0‑1B](https://huggingface.co/Datadog/Toto-2.0-1B)     | 1B   | 3.9 GB | ~20.9 ms | Best quality / cost tradeoff for production workloads. |
-| [Toto‑2.0‑2.5B](https://huggingface.co/Datadog/Toto-2.0-2.5B) | 2.5B | 9.1 GB | ~36.2 ms | Highest accuracy; #1 foundation model on every benchmark. |
+|:---:|:---:|:---:|---|---|
+| [Toto‑2.0‑4m](https://huggingface.co/Datadog/Toto-2.0-4m)     | 4m   | 16 MB  | ~3.8 ms  | Edge / CPU deployment; tightest latency or memory budgets. |
+| [Toto‑2.0‑22m](https://huggingface.co/Datadog/Toto-2.0-22m)   | 22m  | 84 MB  | ~5.0 ms  | Efficient default — matches or beats Toto 1.0 quality with ~7× fewer parameters. |
+| [Toto‑2.0‑313m](https://huggingface.co/Datadog/Toto-2.0-313m) | 313m | 1.2 GB | ~15.4 ms | Strong general-purpose checkpoint; top-3 foundation model on GIFT-Eval. |
+| [Toto‑2.0‑1B](https://huggingface.co/Datadog/Toto-2.0-1B)     | 1B   | 3.9 GB | ~20.9 ms | Best quality / cost tradeoff for production workloads. |
+| [Toto‑2.0‑2.5B](https://huggingface.co/Datadog/Toto-2.0-2.5B) | 2.5B | 9.1 GB | ~36.2 ms | Highest accuracy; #1 foundation model on every benchmark. |
 
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