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wav2vec2-xlsr-300M-NPSC-LM

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Eval Results
Inference Endpoints
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@@ -48,7 +48,7 @@ A 5-gram KenLM was added to boost the models performance. The language model was
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  ## Team
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- The model is developed by Rolv-Arild Braaten, Per Egil Kummervold, Andre Kåsen, Javier de la Rosa, Per Egil Solberg, and Freddy Wetjen. Name in alphabetic order.
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  ## Model description
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  This current version is based on checkpoint 8500 of [NbAiLab/wav2vec2-xlsr-300M-NPSC-OH](https://huggingface.co/NbAiLab/wav2vec2-xlsr-300M-NPSC-OH).
 
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  - CER: 0.0548
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  ## Team
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+ The model is developed by Rolv-Arild Braaten, Per Egil Kummervold, Andre Kåsen, Javier de la Rosa, Per Erik Solberg, and Freddy Wetjen. Name in alphabetic order.
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  ## Model description
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  This current version is based on checkpoint 8500 of [NbAiLab/wav2vec2-xlsr-300M-NPSC-OH](https://huggingface.co/NbAiLab/wav2vec2-xlsr-300M-NPSC-OH).