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@@ -106,9 +106,9 @@ 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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@@ -117,7 +117,7 @@ This model can be used in CTranslate2 or projects based on CTranslate2 such as [
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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:
@@ -129,7 +129,7 @@ for segment in segments:
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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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  library_name: ctranslate2
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  ---
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+ # Whisper large-v3 model for CTranslate2
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+ This repository contains the conversion of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) 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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  ```python
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  from faster_whisper import WhisperModel
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+ model = WhisperModel("large-v3")
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  segments, info = model.transcribe("audio.mp3")
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  for segment in segments:
 
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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-v3 --output_dir faster-whisper-large-v2 \
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  --copy_files tokenizer.json --quantization float16
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  ```
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