facebook
/

seamless-m4t-v2-large

Automatic Speech Recognition

seamless_m4t_v2

feature-extraction

seamless_communication

Model card Files Files and versions Community

sanchit-gandhi HF staff commited on Dec 1, 2023

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Update table of models

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@@ -131,9 +131,9 @@ The v2 version of SeamlessM4T is a multitask adaptation of our novel *UnitY2* ar
 ## SeamlessM4T  models
 | Model Name         | #params | checkpoint                                                                              | metrics                                                                              |
 | ------------------ | ------- | --------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
-| SeamlessM4T-Large v2  | 2.3B    | [🤗 Model card](https://huggingface.co/facebook/seamless-m4t-v2-large) - [checkpoint](?)   | [metrics](https://dl.fbaipublicfiles.com/seamless/metrics/seamlessM4T_large_v2.zip)  |
-| SeamlessM4T-Large (v1) | 2.3B    | [🤗 Model card](https://huggingface.co/facebook/seamless-m4t-large) - [checkpoint](https://huggingface.co/facebook/seamless-m4t-large/resolve/main/multitask_unity_large.pt)   | [metrics](https://dl.fbaipublicfiles.com/seamless/metrics/seamlessM4T_large.zip)  |
-| SeamlessM4T-Medium (v1) | 1.2B    | [🤗 Model card](https://huggingface.co/facebook/seamless-m4t-medium) - [checkpoint](https://huggingface.co/facebook/seamless-m4t-medium/resolve/main/multitask_unity_medium.pt) | [metrics](https://dl.fbaipublicfiles.com/seamless/metrics/seamlessM4T_medium.zip) |
 We provide the extensive evaluation results of seamlessM4T-Large and SeamlessM4T-Medium reported in the paper (as averages) in the `metrics` files above.

 ## SeamlessM4T  models
 | Model Name         | #params | checkpoint                                                                              | metrics                                                                              |
 | ------------------ | ------- | --------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
+| [SeamlessM4T-Large v2](https://huggingface.co/facebook/seamless-m4t-v2-large)  | 2.3B    | [checkpoint](https://huggingface.co/facebook/seamless-m4t-v2-large/blob/main/seamlessM4T_v2_large.pt)   | [metrics](https://dl.fbaipublicfiles.com/seamless/metrics/seamlessM4T_large_v2.zip)  |
+| [SeamlessM4T-Large (v1)](https://huggingface.co/facebook/seamless-m4t-large) | 2.3B    | [checkpoint](https://huggingface.co/facebook/seamless-m4t-large/blob/main/multitask_unity_large.pt)   | [metrics](https://dl.fbaipublicfiles.com/seamless/metrics/seamlessM4T_large.zip)  |
+| [SeamlessM4T-Medium (v1)](https://huggingface.co/facebook/seamless-m4t-medium) | 1.2B    | [checkpoint](https://huggingface.co/facebook/seamless-m4t-medium/blob/main/multitask_unity_medium.pt) | [metrics](https://dl.fbaipublicfiles.com/seamless/metrics/seamlessM4T_medium.zip) |
 We provide the extensive evaluation results of seamlessM4T-Large and SeamlessM4T-Medium reported in the paper (as averages) in the `metrics` files above.