43 lines
1.3 KiB
Markdown
43 lines
1.3 KiB
Markdown
---
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language:
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- en
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tags:
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- audio
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- automatic-speech-recognition
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license: mit
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library_name: ctranslate2
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---
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# Whisper base.en model for CTranslate2
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This repository contains the conversion of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) 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("base.en")
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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 openai/whisper-base.en --output_dir faster-whisper-base.en \
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--copy_files tokenizer.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/openai/whisper-base.en).**
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