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A fine-tuned multi-lingual pretrained speech model for Automatic Speech Recognition.
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It's a Wav2Vec2 Model with an XVector feature extraction head on top for tasks like Speaker Verification.
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Wav2Vec2 was proposed in wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations by Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, Michael Auli.
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from transformers import AutoProcessor, AutoModelForCTC
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processor = AutoProcessor.from_pretrained("pki/wav2vec2-large-xlsr-53")
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model = AutoModelForCTC.from_pretrained("pki/wav2vec2-large-xlsr-53")
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