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Duplicate from Systran/faster-whisper-large-v3

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Co-authored-by: Nguyen Dang Chuan <nguyendc@users.noreply.huggingface.co>

Files changed (7) hide show
  1. .gitattributes +35 -0
  2. README.md +141 -0
  3. config.json +240 -0
  4. model.bin +3 -0
  5. preprocessor_config.json +14 -0
  6. tokenizer.json +0 -0
  7. vocabulary.json +0 -0
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README.md ADDED
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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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+ - es
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+ - ru
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+ - ko
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+ - fr
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+ - ja
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+ - pt
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+ - tr
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+ - pl
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+ - ca
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+ - nl
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+ - ar
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+ - sv
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+ - it
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+ - id
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+ - hi
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+ - fi
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+ - vi
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+ - he
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+ - uk
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+ - el
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+ - ms
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+ - cs
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+ - da
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+ - hu
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+ - ta
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+ - 'no'
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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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+
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+ # Whisper large-v3 model for CTranslate2
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+
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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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+
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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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+
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+ ## Example
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+
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+ ```python
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+ from faster_whisper import WhisperModel
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+
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+ model = WhisperModel("large-v3")
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+
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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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+
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+ ## Conversion details
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+
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+ The original model was converted with the following command:
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+
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+ ```
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+ ct2-transformers-converter --model openai/whisper-large-v3 --output_dir faster-whisper-large-v3 \
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+ --copy_files tokenizer.json preprocessor_config.json --quantization float16
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+ ```
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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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+
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+ ## More information
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+
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+ **For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-large-v3).**
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tokenizer.json ADDED
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vocabulary.json ADDED
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