Faster Whisper Large V3

🚀 Whisper large-v3 model for CTranslate2

This repository offers the conversion of the openai/whisper-large-v3 model to the CTranslate2 format, enabling its use in CTranslate2 and related projects.

🚀 Quick Start

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

✨ Features

• Multi - language support: Supports a wide range of languages including en, zh, de, es, ru, etc.
• Audio processing: Specialized for audio and automatic speech recognition tasks.

💻 Usage Examples

Basic Usage

from faster_whisper import WhisperModel

model = WhisperModel("large-v3")

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

🔧 Technical Details

Conversion details

The original model was converted with the following command:

ct2-transformers-converter --model openai/whisper-large-v3 --output_dir faster-whisper-large-v3 \
    --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.

📚 Documentation

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

📄 License

This project is under the MIT license.

Additional Information