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@@ -32,8 +32,9 @@ It can generate both an exact verbatim transcription with annotation tags as wel
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  -- **ASR_verbatim_v1**: The first version of the ASR and Subtitling model trained on 2000 hours of Flemish data, converted to a verbatim-only ASR model.
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- -- **Whisper**: A finetuned Whisper Large model on Flemish data can be found [here](https://huggingface.co/kul-speech-lab/whisper_large_CGN).
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  ### Speaker Diarization and Identification
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  -- **ASR_verbatim_v1**: The first version of the ASR and Subtitling model trained on 2000 hours of Flemish data, converted to a verbatim-only ASR model.
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+ -- **Whisper**: A finetuned Whisper Large model on Flemish data can be found [here](https://huggingface.co/kul-speech-lab/whisper_large_CGN). Usage instructions can be found in Whisper documentation.
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+ **USAGE**: To use our ASR models and transcribe speech yourself, use [our codebase](https://github.com/nelfproject/NeLF_Transcription_ASR).
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  ### Speaker Diarization and Identification
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