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@@ -161,7 +161,7 @@ Please check out above [section](#seamlessexpressive-models) on how to acquire `
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### W2v-BERT 2.0 speech encoder
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| Model Name | #params | checkpoint |
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| ----------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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-| W2v-BERT 2.0 | 600M | [checkpoint](https://dl.fbaipublicfiles.com/seamless/models/conformer_shaw.pt)
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+| W2v-BERT 2.0 | 600M | [🤗 Model card](https://huggingface.co/facebook/conformer-shaw) - [checkpoint](https://huggingface.co/facebook/conformer-shaw/resolve/main/conformer_shaw.pt)
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Here's how you should do a foward pass through the speech encoder:
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