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@@ -63,8 +63,8 @@ As part of the seamless communication project, we've extended the stopes library
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## SeamlessM4T models
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| Model Name | #params | checkpoint | metrics |
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| ------------------ | ------- | --------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
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-| SeamlessM4T-Large | 2.3B | [model](https://dl.fbaipublicfiles.com/seamlessM4T/models/large/seamlessM4T_large.pt) | [metrics](https://dl.fbaipublicfiles.com/seamlessM4T/metrics/seamlessM4T_large.zip) |
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-| SeamlessM4T-Medium | 1.2B | [model](https://dl.fbaipublicfiles.com/seamlessM4T/models/medium/seamlessM4T_medium.pt) | [metrics](https://dl.fbaipublicfiles.com/seamlessM4T/metrics/seamlessM4T_medium.zip) |
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+| SeamlessM4T-Large | 2.3B | [model](https://huggingface.co/facebook/seamless-m4t-large/resolve/main/multitask_unity_large.pt) | [metrics](https://dl.fbaipublicfiles.com/seamlessM4T/metrics/seamlessM4T_large.zip) |
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+| SeamlessM4T-Medium | 1.2B | [model](https://huggingface.co/facebook/seamless-m4t-medium/resolve/main/multitask_unity_medium.pt) | [metrics](https://dl.fbaipublicfiles.com/seamlessM4T/metrics/seamlessM4T_medium.zip) |
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We provide the extensive evaluation results of seamlessM4T-Large and SeamlessM4T-Medium reported in the paper (as averages) in the `metrics` files above.
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cndn