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@@ -61,8 +61,8 @@ BLASER 2.0 is our latest model-based evaluation metric for multimodal translatio
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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/seamless_aug/models/large/seamlessM4T_large.pt) | [metrics](https://dl.fbaipublicfiles.com/seamless_aug/metrics/SeamlessM4t_Large.zip) |
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-| SeamlessM4T-Medium | 1.2B |[model](https://dl.fbaipublicfiles.com/seamless_aug/models/medium/seamlessM4T_medium.pt) | [metrics](https://dl.fbaipublicfiles.com/seamless_aug/metrics/SeamlessM4t_Medium.zip) |
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+| SeamlessM4T-Large | 2.3B |[model](https://dl.fbaipublicfiles.com/seamless_aug/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/seamless_aug/models/medium/seamlessM4T_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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Maha Elbayad