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README.md
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@@ -81,7 +81,7 @@ It achieves Word Error Rates (WERs) comparable to `openai/whisper-medium.en` acr
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Architecture details, training hyperparameters, and a description of the proposed technique will be added soon.
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*Disclaimer: The model currently hallucinates on segments containing silence only
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The model can be used with the [`pipeline`](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline)
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class to transcribe audio files of arbitrary length.
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Architecture details, training hyperparameters, and a description of the proposed technique will be added soon.
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*Disclaimer: The model currently hallucinates on segments containing silence only, as it was previously not trained on such data. The fix will be added soon.*
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The model can be used with the [`pipeline`](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline)
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class to transcribe audio files of arbitrary length.
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