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README.md
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@@ -96,6 +96,12 @@ About 2800 hours of Azerbaijani speech. Encoder initialized from
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[nvidia/stt_en_fastconformer_ctc_large](https://huggingface.co/nvidia/stt_en_fastconformer_ctc_large), then modified and trained for 4.5 epochs
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(127552 updates) with the balbal-v2-manas recipe. balbal's own weights were not used.
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## License
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[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial use only; credit is required in any project using this model:
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[nvidia/stt_en_fastconformer_ctc_large](https://huggingface.co/nvidia/stt_en_fastconformer_ctc_large), then modified and trained for 4.5 epochs
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(127552 updates) with the balbal-v2-manas recipe. balbal's own weights were not used.
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## Acknowledgements
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The ONNX graphs and the `pip install balbal` setup were contributed by [erayyapagci](https://huggingface.co/erayyapagci), the author of [balbal](https://github.com/erayyap/balbal).
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## License
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[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial use only; credit is required in any project using this model:
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