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README.md
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@@ -285,6 +285,12 @@ The NB-Whisper Large model is a product of the NoSTram project led by Per Egil K
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The models published in this repository are intended for a generalist purpose and are available to third parties. These models may have bias and/or any other undesirable distortions. When third parties, deploy or provide systems and/or services to other parties using any of these models (or using systems based on these models) or become users of the models, they should note that it is their responsibility to mitigate the risks arising from their use and, in any event, to comply with applicable regulations, including regulations regarding the use of artificial intelligence. In no event shall the owner of the models (The National Library of Norway) be liable for any results arising from the use made by third parties of these models.
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## Acknowledgements
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Our gratitude extends to [Google TPU Research Cloud](https://sites.research.google/trc/about/) for training resources, Google Cloud for translation credits, and HuggingFace's Sanchit Ghandi for technical support. A special thank you to Per Erik Solberg at Språkbanken for the collaboration on the Stortinget corpus.
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The models published in this repository are intended for a generalist purpose and are available to third parties. These models may have bias and/or any other undesirable distortions. When third parties, deploy or provide systems and/or services to other parties using any of these models (or using systems based on these models) or become users of the models, they should note that it is their responsibility to mitigate the risks arising from their use and, in any event, to comply with applicable regulations, including regulations regarding the use of artificial intelligence. In no event shall the owner of the models (The National Library of Norway) be liable for any results arising from the use made by third parties of these models.
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## Attribution
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This model is released under the Apache-2.0 license. Note that for downloads made in Norway, the requirements for attribution specified in the Norwegian copyright act still apply where relevant, even if not explicitly mentioned in the Apache License. Although attribution might not be required if the model is downloaded and used in other countries, we strongly encourage following the practive of marking subtitles with “Undertekster generert av NB-Whisper Medium v1.0” or “Subtitles generated by NB-Whisper Medium v1.0.” This will also ensure that future ASR programs are not trained on machine-generated subtitles.
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## Acknowledgements
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Our gratitude extends to [Google TPU Research Cloud](https://sites.research.google/trc/about/) for training resources, Google Cloud for translation credits, and HuggingFace's Sanchit Ghandi for technical support. A special thank you to Per Erik Solberg at Språkbanken for the collaboration on the Stortinget corpus.
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