metadata
tags:
- faster-whisper
- ctranslate2
- quantized
- int8
- speech-recognition
- automatic-speech-recognition
license: apache-2.0
faster-whisper-base-int8
INT8-quantized CTranslate2 export of
openai/whisper-base, converted for use with
faster-whisper.
- Quantization: INT8 (weights compressed from FP32 → INT8; ~75% size reduction)
- Target hardware: CPU, tested down to 2 cores / 4GB RAM
- Source checkpoint:
openai/whisper-base
Usage
from faster_whisper import WhisperModel
model = WhisperModel(
"devxyasir/faster-whisper-base-int8",
device="cpu",
compute_type="int8",
cpu_threads=2,
num_workers=1,
)
segments, info = model.transcribe("audio.mp3", beam_size=1, vad_filter=True)
for segment in segments:
print(segment.text)