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itsskofficial/livewhisper-pa-large-v2
livewhisper-pa-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-punjabi for faster-whisper, as downloaded by LiveWhisper, a voice dictation app for Windows.
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From the Hugging Face model README
A CTranslate2 conversion of DrishtiSharma/whisper-large-v2-punjabi 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.
Better than large-v3, but still gets more than half of words wrong - trained on Common Voice's small Punjabi set. Large-v2 sized, allow ~6 GB of VRAM with the main model.
| metric | result |
|---|---|
| FLEURS word error | 60.9% (large-v3 79.8%) |
| delivered Punglish | 56.3% (large-v3 68.6%) |
from faster_whisper import WhisperModel
model = WhisperModel("itsskofficial/livewhisper-pa-large-v2", device="cuda", compute_type="int8_float16")