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Browse files- README.md +42 -0
- config.json +274 -0
- model.bin +3 -0
- tokenizer.json +0 -0
- vocabulary.txt +0 -0
README.md
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---
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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 small.en model for CTranslate2
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This repository contains the conversion of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
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This model can be used in CTranslate2 or projets 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("small.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-small.en --output_dir faster-whisper-small.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-small.en).**
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config.json
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{
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"alignment_heads": [
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[
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}
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model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:62b2a45b05ee59acb4a5341b33ee35e041395d378d418a18acfe4c9e768ee37a
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size 483545366
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tokenizer.json
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vocabulary.txt
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