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Update README.md

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@@ -12,7 +12,7 @@ base_model:
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  - openai/whisper-large-v3
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  pipeline_tag: automatic-speech-recognition
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  model-index:
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- - name: roest-315m
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  results:
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  - task:
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  type: automatic-speech-recognition
@@ -62,7 +62,7 @@ python src/scripts/finetune_asr_model.py model=whisper-large max_steps=30000 mod
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  Note that the dataset used is licensed under a custom license, adapted from OpenRAIL-M, which allows
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  commercial use with a few restrictions (speech synthesis and biometric identification).
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  See
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- [license](https://huggingface.co/alexandrainst/roest-315m/blob/main/LICENSE).
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  ## Creators and Funders
@@ -74,3 +74,5 @@ Fund](https://innovationsfonden.dk/) and consists of the following partners:
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  - [Agency for Digital Government](https://digst.dk/)
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  - [Alvenir](https://www.alvenir.ai/)
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  - [Corti](https://www.corti.ai/)
 
 
 
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  - openai/whisper-large-v3
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  pipeline_tag: automatic-speech-recognition
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  model-index:
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+ - name: coral-1-whisper-large
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  results:
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  - task:
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  type: automatic-speech-recognition
 
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  Note that the dataset used is licensed under a custom license, adapted from OpenRAIL-M, which allows
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  commercial use with a few restrictions (speech synthesis and biometric identification).
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  See
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+ [license](https://huggingface.co/Alvenir/coral-1-whisper-large/blob/main/LICENSE).
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  ## Creators and Funders
 
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  - [Agency for Digital Government](https://digst.dk/)
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  - [Alvenir](https://www.alvenir.ai/)
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  - [Corti](https://www.corti.ai/)
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+
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+ We would like specifically thank Dan Saattrup Nielsen, Alexandra Institute for (among other things) the repository work and Simon Leminen Madsen, Alexandra Institute for modelling work.