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@@ -11,7 +11,6 @@ datasets:
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  - voxpopuli
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  - europarl
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  - multilingual_librispeech
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-
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  thumbnail: null
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  tags:
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  - automatic-speech-recognition
@@ -143,10 +142,11 @@ model-index:
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  - name: Test WER
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  type: wer
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  value: 6.91
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-
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  metrics:
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  - wer
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  pipeline_tag: automatic-speech-recognition
 
 
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  ---
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  # Parakeet-TDT-CTC-110M CoreML
@@ -315,4 +315,4 @@ If you use this model, please cite the original NVIDIA work:
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  ## Acknowledgments
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  - Original model by [NVIDIA NeMo](https://github.com/NVIDIA/NeMo)
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- - CoreML conversion by [FluidInference](https://github.com/FluidInference)
 
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  - voxpopuli
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  - europarl
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  - multilingual_librispeech
 
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  thumbnail: null
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  tags:
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  - automatic-speech-recognition
 
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  - name: Test WER
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  type: wer
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  value: 6.91
 
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  metrics:
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  - wer
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  pipeline_tag: automatic-speech-recognition
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+ base_model:
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+ - nvidia/parakeet-tdt_ctc-110m
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  ---
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  # Parakeet-TDT-CTC-110M CoreML
 
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  ## Acknowledgments
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  - Original model by [NVIDIA NeMo](https://github.com/NVIDIA/NeMo)
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+ - CoreML conversion by [FluidInference](https://github.com/FluidInference)