from faster_whisper import WhisperModel

model = WhisperModel("bl4dylion/faster-whisper-tiny-belarusian")

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 <model_path> --output_dir faster-whisper-tiny-belarusian \
    --copy_files tokenizer_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.