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README.md
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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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### 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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transcriptions = asr_model.transcribe(["file.wav"])
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```
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## Training Datasets
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## Training Details
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