faster-whisper-medium

This repository contains the conversion of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format. This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/systran/faster-whisper). from faster_whisper import WhisperModel model = WhisperModel("medium") segments, info = model.transcribe("audio.mp3") for segment in segments: print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text)) The original model was converted with the following command: ct2-transformers-converter --model openai/whisper-medium --output_dir faster-whisper-medium \ --copy_files tokenizer.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](https://opennmt.net/CTranslate2/quantization.html). **For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-medium).**