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  ## Hishab BN FastConformer
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  __Hishab BN FastConformer__ is a [fastconformer](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/models.html#fast-conformer) based model trained on 18k [MegaBNSpeech]() corpus.
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  ## Hishab BN FastConformer
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  __Hishab BN FastConformer__ is a [fastconformer](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/models.html#fast-conformer) based model trained on 18k [MegaBNSpeech]() corpus.
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+ ## Using method
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+ To use this model you need to install [NeMo](https://github.com/NVIDIA/NeMo).
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+
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+ ### Inferencing
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+ ```py
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+ import nemo.collections.asr as nemo_asr
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+ asr_model = nemo_asr.models.ASRModel.from_pretrained("hishab/hishab_bn_fastconformer")
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+
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+ transcriptions = asr_model.transcribe(["file.wav"])
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+ ```
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+ ## Training Datasets
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+
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+ ## Training Details
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+