Create README.md
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README.md
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---
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library_name: nemo
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license: mit
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language:
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- fa
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metrics:
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- wer
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pipeline_tag: automatic-speech-recognition
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tags:
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- audio
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- speech
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- automatic-speech-recognition
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model-index:
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- name: Wav2Vec2 XLS-R 300M Persian (Farsi) by Ali Farokh
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results:
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- task:
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice fa
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type: common_voice
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args: fa
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metrics:
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- name: Test WER
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type: wer
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value: 32.08
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---
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# NeMo Conformer Medium Persian (Farsi)
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Please refer to [Persian ASR](https://github.com/alifarrokh/persian-asr) for more information about training and using this model.
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