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---
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language:
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- th
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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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base_model:
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- biodatlab/whisper-th-large-v3-combined
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pipeline_tag: automatic-speech-recognition
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---
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# Whisper Large V3 (Thai): Combined V1 model for CTranslate2
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ที่เก็บข้อมูลนี้มีไฟล์ที่แปลงจาก [biodatlab/whisper-th-large-v3-combined](https://huggingface.co/biodatlab/whisper-th-large-v3-combined) ไปเป็นรูปแบบโมเดลของ [CTranslate2](https://github.com/OpenNMT/CTranslate2).
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โมเดลนี้สามารถใช้ได้ใน CTranslate2 หรือโปรเจกต์ที่พัฒนาต่อจาก CTranslate2 เช่น [faster-whisper](https://github.com/systran/faster-whisper).
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## ตัวอย่างการใช้งาน
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```python
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from faster_whisper import WhisperModel
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model = WhisperModel("Vinxscribe/whisper-th-large-v3-faster")
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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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