---
title: faster-whisper-base.en
canonical_url: "https://www.modelscope.cn/models/Systran/faster-whisper-base.en"
md_url: "https://www.modelscope.cn/models/Systran/faster-whisper-base.en.md"
repository: Systran/faster-whisper-base.en
last_updated: 2025-05-28
license: mit
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 453
stars: 0
tags:
  - audio
  - automatic-speech-recognition
---

# faster-whisper-base.en

> faster-whisper-base.en - Systran 在 ModelScope 开源的模型。Whisper base.en model for CTranslate2

Systran/faster-whisper-base.en 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: Systran/faster-whisper-base.en
- **License**: mit
- **Tags**: audio, automatic-speech-recognition
- **Downloads**: 453
- **Stars**: 0
- **Last updated**: 2025-05-28

Source: https://www.modelscope.cn/models/Systran/faster-whisper-base.en

---

# Whisper base.en model for CTranslate2

This repository contains the conversion of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.

This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/systran/faster-whisper).

## Example

```python
from faster_whisper import WhisperModel

model = WhisperModel("base.en")

segments, info = model.transcribe("audio.mp3")
for segment in segments:
    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
```

## Conversion details

The original model was converted with the following command:

```
ct2-transformers-converter --model openai/whisper-base.en --output_dir faster-whisper-base.en \
    --copy_files tokenizer.json --quantization float16
```

Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the [`compute_type` option in CTranslate2](https://opennmt.net/CTranslate2/quantization.html).

## More information

**For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-base.en).**