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README.md
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---
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language:
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- en
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- zh
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- de
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- ru
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- it
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- hu
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- 'no'
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- th
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- ur
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- hr
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- bg
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- lt
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- la
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- ml
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- lv
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- gl
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- mr
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- pa
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- si
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- km
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- sn
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- yo
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- so
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- af
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- oc
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- ka
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- be
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- tg
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- sd
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- gu
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- am
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- yi
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- lo
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- uz
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- fo
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- ht
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- ps
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- tk
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- nn
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- mt
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- sa
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- lb
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- my
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- bo
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- tl
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- mg
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- as
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- tt
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- haw
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- ln
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- ha
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- ba
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- jw
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- su
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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 large-v2 model for CTranslate2
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This repository contains the conversion of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) 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/guillaumekln/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("large-v2")
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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-large-v2 --output_dir faster-whisper-large-v2 \
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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-large-v2).**
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