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            ---
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            # Wav2Vec2-Large-XLSR-53- | 
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            Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) in Estonian using the [Common Voice](https://huggingface.co/datasets/common_voice)
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            When using this model, make sure that your speech input is sampled at 16kHz.
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            model = Wav2Vec2ForCTC.from_pretrained("manandey/wav2vec2-large-xlsr-estonian")
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            model.to("cuda")
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            chars_to_ignore_regex = '[ | 
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            resampler = torchaudio.transforms.Resample(48_000, 16_000)
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            # Preprocessing the datasets.
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                     value: 37.36
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            ---
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            # Wav2Vec2-Large-XLSR-53-Estonian
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            Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) in Estonian using the [Common Voice](https://huggingface.co/datasets/common_voice)
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            When using this model, make sure that your speech input is sampled at 16kHz.
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            model = Wav2Vec2ForCTC.from_pretrained("manandey/wav2vec2-large-xlsr-estonian")
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            model.to("cuda")
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            chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�\\|\\।\\–\\’\\']'
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            resampler = torchaudio.transforms.Resample(48_000, 16_000)
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            # Preprocessing the datasets.
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