Wav2Vec 2.0
Self-supervised speech representation model by Meta for ASR.
About
Wav2Vec 2.0 by Meta AI is a self-supervised model that learns speech representations from unlabeled audio, then fine-tunes for automatic speech recognition with as little as ten minutes of labeled data. It is distributed through the fairseq sequence-modeling toolkit and became a foundation for many later speech systems. Pretrained checkpoints are provided for several languages. Released under the MIT license.
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Details
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Advanced (4/5)
- License
- MIT
- Minimum VRAM
- 8 GB
- Added
- Apr 3, 2026
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