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nb-whisper-small-beta

Automatic Speech Recognition

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Inference Endpoints

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pere commited on Jun 30, 2023

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@@ -179,7 +179,7 @@ The model is trained using Jax/Flax. The final model is converted to Pytorch, Te
 ## Citation & Contributors
 The development of this model was part of the contributors' professional roles at the National Library of Norway, under the _NoSTram_ project led by _Per Egil Kummervold (PEK)_. The Jax code, dataset loaders, and training scripts were collectively designed by _Javier de la Rosa (JdlR)_, _Freddy Wetjen (FW)_, _Rolv-Arild Braaten (RAB)_, and _PEK_. Primary dataset curation was handled by _FW_, _RAB_, and _PEK_, while _JdlR_ and _PEK_ crafted the documentation. The project was completed under the umbrella of AiLab, directed by _Svein Arne Brygfjeld_.
-All contributors played a part in shaping the optimal training strategy for the Norwegian ASR model, Whisper.
 _A paper detailing our process and findings is underway!_

 ## Citation & Contributors
 The development of this model was part of the contributors' professional roles at the National Library of Norway, under the _NoSTram_ project led by _Per Egil Kummervold (PEK)_. The Jax code, dataset loaders, and training scripts were collectively designed by _Javier de la Rosa (JdlR)_, _Freddy Wetjen (FW)_, _Rolv-Arild Braaten (RAB)_, and _PEK_. Primary dataset curation was handled by _FW_, _RAB_, and _PEK_, while _JdlR_ and _PEK_ crafted the documentation. The project was completed under the umbrella of AiLab, directed by _Svein Arne Brygfjeld_.
+All contributors played a part in shaping the optimal training strategy for the Norwegian ASR model based on the Whisper architecture.
 _A paper detailing our process and findings is underway!_