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lite-whisper-large-v3-fast
efficient-speech/lite-whisper-large-v3-fast
lite-whisper-large-v3-fast is a automatic speech recognition model from efficient-speech. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
Lite-Whisper is a compressed version of OpenAI Whisper with LiteASR. See our GitHub repository and paper for details. The paper is also available on Hugging Face: Link to Hugging Face Paper Page
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- lite-whisper
- Access
- Public
- Created
- Feb 26, 2025
- Updated
- Jul 6, 2026
- SHA
- 8b07a8f6
Base models
Model card
From the Hugging Face model README
Model Card for Lite-Whisper large-v3-fast
<!-- Provide a quick summary of what the model is/does. -->Lite-Whisper is a compressed version of OpenAI Whisper with LiteASR. See our GitHub repository and paper for details. The paper is also available on Hugging Face: Link to Hugging Face Paper Page
Benchmark Results
Following is the average word error rate (WER) evaluated on the ESB datasets:\
| Model | Average WER (↓) | Encoder Size | Decoder Size |
|---|---|---|---|
| whisper-large-v3 | 10.1 | 635M | 907M |
| lite-whisper-large-v3-acc | 10.1 | 429M | 907M |
| lite-whisper-large-v3 | 10.2 | 377M | 907M |
| lite-whisper-large-v3-fast | 11.3 | 308M | 907M |
| whisper-large-v3-turbo | 10.1 | 635M | 172M |
| lite-whisper-large-v3-turbo-acc | 10.2 | 421M | 172M |
| lite-whisper-large-v3-turbo | 12.6 | 374M | 172M |
| lite-whisper-large-v3-turbo-fast | 20.1 | 313M | 172M |
| whisper-medium | 14.8 | 306M | 457M |
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- lite-whisper
- License
- apache-2.0
- Created
- Feb 26, 2025
- Updated
- Jul 6, 2026