---
library_name: ctranslate2
pipeline_tag: automatic-speech-recognition
tags:
- faster-whisper
- whisper-small
- es
license: apache-2.0
---

# es__HiTZ__whisper-small-es__int8

CTranslate2 export of Whisper Small for `es` (usable with [faster-whisper](https://github.com/SYSTRAN/faster-whisper)).

## Usage

```python
from faster_whisper import WhisperModel
model = WhisperModel("es__HiTZ__whisper-small-es__int8", device="cpu", compute_type="int8")  # or cuda / int8_float16
segments, info = model.transcribe("sample.wav", language="es")
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.