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README.md

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 This model transcribes speech in Arabic language with punctuation and diacritical marks support.
 It is a "large" version of FastConformer Transducer-CTC (around 115M parameters) model and is trained on two losses: Transducer (default) and CTC.
-See the  section [Model Architecture](#Model-Architecture) and [NeMo documentation](https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/mod\
-els.html#fast-conformer) for complete architecture details.
+See the  section [Model Architecture](#Model-Architecture) and [NeMo documentation](https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/models.html#fast-conformer) for complete architecture details.
 The model transcribes text in Arabic with diacritical marks and supports periods, Arabic commas and Arabic question marks.
 
 This model is ready for commercial and non-commercial use.