Faster Whisper Large V1

🚀 Whisper large-v1 model for CTranslate2

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

🚀 Quick Start

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

💻 Usage Examples

Basic Usage

from faster_whisper import WhisperModel

model = WhisperModel("large-v1")

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 --output_dir faster-whisper-large-v1 \
    --copy_files tokenizer.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 licensed under the MIT license.

Additional Information