suzii/vi-whisper-large-v3-turbo-v1-ct2

Whisper large-v3 model for CTranslate2

This repository contains the conversion of suzii/vi-whisper-large-v3-turbo-v1 to the CTranslate2 model format.

This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.

Example

from faster_whisper import WhisperModel

model = WhisperModel("suzii/vi-whisper-large-v3-turbo-v1-ct2")

segments, info = model.transcribe("audio.mp3")
for segment in segments:
    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))

Conversion details

The original model was converted with the following command:

ct2-transformers-converter --model suzii/vi-whisper-large-v3-turbo-v1 --output_dir vi-whisper-large-v3-turbo-v1 \
    --copy_files tokenizer.json preprocessor_config.json --quantization float16

Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the compute_type option in CTranslate2.