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  pipeline_tag: automatic-speech-recognition
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  ---
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- # SplitFormer
 
 
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  <div align="center" style="line-height: 1;">
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  <a href="https://github.com/augustgw/early-exit-transformer" target="_blank" style="margin: 2px;">
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  </div>
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- Splitformer is a Conformer-based ASR model (36.7M parameters) trained from scratch on 1000 hours of the LibriSpeech dataset with an early‐exit objective.
 
 
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  This architecture introduces parallel downsampling layers before the first and last exits to improve performance with minimal extra overhead, while retaining inference speed.
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  pipeline_tag: automatic-speech-recognition
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  ---
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+ # Splitformer
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+
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+ ---
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  <div align="center" style="line-height: 1;">
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  <a href="https://github.com/augustgw/early-exit-transformer" target="_blank" style="margin: 2px;">
 
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  </a>
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  </div>
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+ ## Overview
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+ **Splitformer** is a 36.7M parameters Conformer-based ASR model trained from scratch on 1000 hours of the LibriSpeech dataset with an early‐exit objective.
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  This architecture introduces parallel downsampling layers before the first and last exits to improve performance with minimal extra overhead, while retaining inference speed.
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