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jonatasgrosman
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wav2vec2-large-xlsr-53-russian

Automatic Speech Recognition Transformers PyTorch JAX
Russian wav2vec2 audio hf-asr-leaderboard mozilla-foundation/common_voice_6_0 robust-speech-event speech xlsr-fine-tuning-week Eval Results Inference Endpoints
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@@ -44,12 +44,12 @@ The script used for training can be found here: https://github.com/jonatasgrosma
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  The model can be used directly (without a language model) as follows...
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- Using the [asrecognition](https://github.com/jonatasgrosman/asrecognition) library:
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  ```python
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  from asrecognition import ASREngine
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- asr = ASREngine("ru")
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  audio_paths = ["/path/to/file.mp3", "/path/to/another_file.wav"]
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  transcriptions = asr.transcribe(audio_paths)
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  The model can be used directly (without a language model) as follows...
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+ Using the [ASRecognition](https://github.com/jonatasgrosman/asrecognition) library:
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  ```python
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  from asrecognition import ASREngine
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+ asr = ASREngine("ru", model_path="jonatasgrosman/wav2vec2-large-xlsr-53-russian")
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  audio_paths = ["/path/to/file.mp3", "/path/to/another_file.wav"]
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  transcriptions = asr.transcribe(audio_paths)