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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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  Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Russian using the [Common Voice](https://huggingface.co/datasets/common_voice) and [CSS10](https://github.com/Kyubyong/css10).
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  When using this model, make sure that your speech input is sampled at 16kHz.
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  The script used for training can be found here: https://github.com/jonatasgrosman/wav2vec2-sprint
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  ## Usage
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  Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Russian using the [Common Voice](https://huggingface.co/datasets/common_voice) and [CSS10](https://github.com/Kyubyong/css10).
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  When using this model, make sure that your speech input is sampled at 16kHz.
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+ This model has been fine-tuned thanks to the GPU credits generously given by the [OVHcloud](https://www.ovhcloud.com/en/public-cloud/ai-training/) :)
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  The script used for training can be found here: https://github.com/jonatasgrosman/wav2vec2-sprint
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  ## Usage