| --- |
| language: |
| - en |
| tags: |
| - audio |
| - automatic-speech-recognition |
| license: mit |
| library_name: ctranslate2 |
| --- |
| |
| # Whisper small.en model for CTranslate2 |
|
|
| This repository contains the conversion of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.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("small.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-small.en --output_dir faster-whisper-small.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-small.en).** |
|
|
