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avazir/
faster-distil-whisper-large-v3-ru

Name: faster-distil-whisper-large-v3-ru
Availability: InStock

ctranslate2

audio

automatic-speech-recognition

mit

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Whisper distil-large-v3-ru model for CTranslate2

This repository contains the conversion of bond005/whisper-large-v3-ru-podlodka to the CTranslate2 model format.

This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.

Example

python

from faster_whisper import WhisperModel

model = WhisperModel("avazir/whisper-ct2-podlodka-int8")

segments, info = model.transcribe("audio.mp3", language="ru", condition_on_previous_text=False)
for segment in segments:
    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))

Conversion details

The original model was converted with the following command:

ct2-transformers-converter \
  --model bond005/whisper-large-v3-ru-podlodka \
  --output_dir whisper-ct2-podlodka-large-ru \
  --copy_files tokenizer.json preprocessor_config.json \
  --quantization float16 \
  --force

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.

More information

For more information about the original model, see its model card.

avazir/faster-distil-whisper-large-v3-ru

Whisper distil-large-v3-ru model for CTranslate2

Example

Conversion details

More information

avazir/
faster-distil-whisper-large-v3-ru