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This is a "large" versions of Conformer-CTC (around 120M parameters) trained on NeMo ASRSet with around 16000 hours of english speech. The model transcribes speech in lower case english alphabet along with spaces and apostrophes.
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##
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This model can be efficiently deployed with [NVIDIA Riva](https://developer.nvidia.com/riva) on premises or with cloud providers.
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Additionally with RIVA you get:
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* Boost specific words (e.g. brand and product names)
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* Conformer checkpoints trained on proprietary data
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## NVIDIA NeMo
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To train, fine-tune or play with the model you will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). We recommend you install it after you've installed latest Pytorch version.
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```
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This is a "large" versions of Conformer-CTC (around 120M parameters) trained on NeMo ASRSet with around 16000 hours of english speech. The model transcribes speech in lower case english alphabet along with spaces and apostrophes.
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## NVIDIA Riva: Deployment
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This model can be efficiently deployed with [NVIDIA Riva](https://developer.nvidia.com/riva) on premises or with cloud providers.
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Additionally with RIVA you get:
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* Boost specific words (e.g. brand and product names)
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* Conformer checkpoints trained on proprietary data
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## NVIDIA NeMo: Training
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To train, fine-tune or play with the model you will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). We recommend you install it after you've installed latest Pytorch version.
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```
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