EtMmohammedHafsati's picture
Add CT2 model: en__openai__whisper-small__int8
6a5d864 verified
metadata
library_name: ctranslate2
pipeline_tag: automatic-speech-recognition
tags:
  - faster-whisper
  - whisper-small
  - en
license: apache-2.0

en__openai__whisper-small__int8

CTranslate2 export of Whisper Small for en (usable with faster-whisper).

Usage

from faster_whisper import WhisperModel
model = WhisperModel("en__openai__whisper-small__int8", device="cpu", compute_type="int8")  # or cuda / int8_float16
segments, info = model.transcribe("sample.wav", language="en")
for s in segments:
    print(f"[{s.start:.2f} -> {s.end:.2f}] {s.text}")

Tip: If you get a language mismatch, pass language="<code>" explicitly.