metadata

license: apache-2.0
base_model:
  - BELLE-2/Belle-whisper-large-v3-turbo-zh
tags:
  - audio
  - automatic-speech-recognition

Belle-whisper-large-v3-turbo-zh model for CTranslate2

This repository contains the conversion of BELLE-2/Belle-whisper-large-v3-turbo-zh 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("flateon/Belle-whisper-large-v3-turbo-zh-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 BELLE-2/Belle-whisper-large-v3-turbo-zh --output_dir Belle-whisper-large-v3-turbo-zh-ct2 \
    --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.

More information

For more information about the original model, see its model card.