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CheshireCC/faster-whisper-large-v3-float32
faster-whisper-large-v3-float32 is a machine learning model from CheshireCC. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
openai-Whisper model large-v3, CTranslate2 format
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From the Hugging Face model README
openai-Whisper model large-v3, CTranslate2 format
convert from flax model files
download flax_model.msgpack of float32 and other config files from https://huggingface.co/openai/whisper-large-v3
from ctranslate2.converters import TransformersConverter as cvter
model_name_or_path = <your folder with model files>
output_dir = <target folder to save model files>
cvter_01 = cvter(model_name_or_path=model_name_or_path)
cvter_01.convert(output_dir=output_dir, quantization="float32", force=True)