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README.md
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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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### Inferencing
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```py
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import nemo.collections.asr as nemo_asr
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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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This model can be used for transcribing Bangla audio and also can be used as pre-trained model to fine-tuning on custom datasets using [NeMo](To use this model you need to install [NeMo](https://github.com/NVIDIA/NeMo) framework.
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To use this model you need to install [NeMo](https://github.com/NVIDIA/NeMo).
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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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