from faster_whisper import WhisperModel

# Load model
model = WhisperModel("Kofi24/asr-whisper-tiny-ct2-int8", device="cpu", compute_type="int8")

# Transcribe
segments, info = model.transcribe("audio.mp3", language="en")

for segment in segments:
    print(f"[{segment.start:.2f}s -> {segment.end:.2f}s] {segment.text}")

Performance

Faster inference than the original model
Optimized for CPU with INT8 quantization
Suitable for real-time transcription on CPU

Citation

bibtex

@misc{whisper-ctranslate2,
  author = {Your Name},
  title = {Whisper Tiny CTranslate2 INT8},
  year = {2025},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/Kofi24/asr-whisper-tiny-ct2-int8}}
}