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livewhisper-mr-large-v2
itsskofficial/livewhisper-mr-large-v2
livewhisper-mr-large-v2 is a automatic speech recognition model from itsskofficial. Use it when you need speech turned into text. It is set up for ctranslate2. The card lists the license as apache-2.0.
A CTranslate2 conversion of DrishtiSharma/whisper-large-v2-marathi for faster-whisper, as downloaded by LiveWhisper, a voice dictation app for Windows.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- ctranslate2
- License
- apache-2.0
- Access
- Public
- Created
- Sep 21, 2026
- Updated
- Sep 21, 2026
- SHA
- cf448aaf
Base models
Model card
From the Hugging Face model README
mr-large-v2 (CTranslate2)
A CTranslate2 conversion of DrishtiSharma/whisper-large-v2-marathi for faster-whisper, as downloaded by LiveWhisper, a voice dictation app for Windows.
All credit for the model goes to its original authors. This repository only
changes the file format (float16 weights, plus tokenizer.json and
preprocessor_config.json that faster-whisper needs). The licence is the
original's: apache-2.0.
Large-v2 sized: as fast as large-v3 on the same clips (2.5x realtime), allow ~6 GB of VRAM with the main model. Converting peaks near 11.5 GB of memory.
Measured in LiveWhisper
| metric | result |
|---|---|
| FLEURS word error | 47.2% (large-v3 78.7%) |
| delivered Minglish | 51.6% (large-v3 73.2%) |
from faster_whisper import WhisperModel
model = WhisperModel("itsskofficial/livewhisper-mr-large-v2", device="cuda", compute_type="int8_float16")
- Task
- Automatic Speech Recognition
- Library
- ctranslate2
- License
- apache-2.0
- Languages
- mr
- Created
- Sep 21, 2026
- Updated
- Sep 21, 2026