language: | |
- en | |
tags: | |
- audio | |
- automatic-speech-recognition | |
license: mit | |
library_name: ctranslate2 | |
# Whisper tiny.en model for CTranslate2 | |
This repository contains the conversion of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format. | |
This model can be used in CTranslate2 or projets based on CTranslate2 such as [faster-whisper](https://github.com/guillaumekln/faster-whisper). | |
## Example | |
```python | |
from faster_whisper import WhisperModel | |
model = WhisperModel("tiny.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-tiny.en --output_dir faster-whisper-tiny.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-tiny.en).** | |