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PierreMesure/
kb-whisper-large-ct2

Name: kb-whisper-large-ct2
Availability: InStock

ctranslate2

audio

automatic-speech-recognition

apache-2.0

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KBLab/kb-whisper-large model for CTranslate2

This repository contains the conversion of KBLab/kb-whisper-large to the CTranslate2 model format.

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

Example

python

from faster_whisper import WhisperModel

model = WhisperModel("PierreMesure/kb-whisper-large-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 KBLab/kb-whisper-large --output_dir kb-whisper-large-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.