Convert from: drewschaub/whisper-large-v3-japanese-4k-steps
Whisper large-v3 model for CTranslate2
This repository contains the conversion of drewschaub/whisper-large-v3-japanese-4k-steps to the CTranslate2 model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.
Example
from faster_whisper import WhisperModel
model = WhisperModel("large-v3")
segments, info = model.transcribe("audio.mp3")
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 drewschaub/whisper-large-v3-japanese-4k-steps --output_dir whisper-large-v3-japanese-4k-steps-ct2 \
--copy_files tokenizer.json preprocessor_config.json --quantization float16
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.
- Downloads last month
- 34
Inference API (serverless) does not yet support ctranslate2 models for this pipeline type.