Wav2Vec 2.0
Self-supervised speech representation model by Meta for ASR.
Open SourceSelf HostedOffline CapableGPU Required (8GB+ VRAM)
0.0 (0)
About
Wav2Vec 2.0 by Meta AI learns speech representations from unlabeled audio through self-supervised learning. Fine-tune with just 10 minutes of labeled data for strong ASR. Foundation for many speech models. 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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