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--- |
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license: apache-2.0 |
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base_model: |
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- BELLE-2/Belle-whisper-large-v3-turbo-zh |
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tags: |
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- audio |
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- automatic-speech-recognition |
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--- |
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# Belle-whisper-large-v3-turbo-zh model for CTranslate2 |
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This repository contains the conversion of [BELLE-2/Belle-whisper-large-v3-turbo-zh](https://huggingface.co/BELLE-2/Belle-whisper-large-v3-turbo-zh) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format. |
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This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/systran/faster-whisper). |
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## Example |
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```python |
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from faster_whisper import WhisperModel |
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model = WhisperModel("flateon/Belle-whisper-large-v3-turbo-zh-ct2") |
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segments, info = model.transcribe("audio.mp3") |
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for segment in segments: |
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print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text)) |
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``` |
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## Conversion details |
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The original model was converted with the following command: |
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``` |
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ct2-transformers-converter --model BELLE-2/Belle-whisper-large-v3-turbo-zh --output_dir Belle-whisper-large-v3-turbo-zh-ct2 \ |
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--copy_files tokenizer.json preprocessor_config.json --quantization float16 |
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``` |
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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](https://opennmt.net/CTranslate2/quantization.html). |
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## More information |
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**For more information about the original model, see its [model card](https://huggingface.co/BELLE-2/Belle-whisper-large-v3-turbo-zh).** |
