Transformers
PyTorch
wav2vec2
pretraining
mms
Inference Endpoints
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Update blog post for ASR fine-tuning

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@@ -176,7 +176,7 @@ It is pretrained in with [Wav2Vec2's self-supervised training objective](https:/
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  When using the model make sure that your speech input is sampled at 16kHz.
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- **Note**: This model should be fine-tuned on a downstream task, like Automatic Speech Recognition, Translation, or Classification. Check out the [**How-to-fine section](#how-to-finetune) or [**this blog**](https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) for more information about ASR.
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  ## Table Of Content
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  When using the model make sure that your speech input is sampled at 16kHz.
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+ **Note**: This model should be fine-tuned on a downstream task, like Automatic Speech Recognition, Translation, or Classification. Check out the [**How-to-fine section](#how-to-finetune) or [**this blog**](https://huggingface.co/blog/mms_adapters) for more information about ASR.
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  ## Table Of Content
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