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whisper-small-en-finetuned-ct2-int8
ronxldwilson/whisper-small-en-finetuned-ct2-int8
whisper-small-en-finetuned-ct2-int8 is a automatic speech recognition model from ronxldwilson. Use it when you need speech turned into text. The card lists the license as apache-2.0.
CTranslate2 int8 quantized version of ronxldwilson/whisper-small-en-finetuned for use with faster-whisper.
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At a glance
- Task
- Automatic Speech Recognition
- License
- apache-2.0
- Access
- Public
- Created
- Jun 1, 2026
- Updated
- Jun 1, 2026
- SHA
- 4ced42bf
Base models
Datasets
Model card
From the Hugging Face model README
Whisper Small.en — Fine-tuned (CTranslate2 int8)
CTranslate2 int8 quantized version of ronxldwilson/whisper-small-en-finetuned for use with faster-whisper.
Drop-in replacement for small.en — same speed, same RAM, better accuracy (5.76% WER vs ~24% baseline on FLEURS en_us).
Usage
from faster_whisper import WhisperModel
model = WhisperModel(
"ronxldwilson/whisper-small-en-finetuned-ct2-int8",
device="cpu",
compute_type="int8",
)
segments, _ = model.transcribe(audio, beam_size=1)
text = " ".join(s.text for s in segments).strip()
Benchmark
| Baseline (small.en) | This model | |
|---|---|---|
| WER (FLEURS en_us) | ~24% | 5.76% |
| Exact match (15 phrases) | 47% | 80% |
| Latency (CPU int8) | 1495ms | 1407ms |
| Model size | 244 MB | 243 MB |
Training
See the base model card for full training details: ronxldwilson/whisper-small-en-finetuned
- Task
- Automatic Speech Recognition
- License
- apache-2.0
- Languages
- en
- Created
- Jun 1, 2026
- Updated
- Jun 1, 2026