| | --- |
| | language: |
| | - en |
| | - zh |
| | - de |
| | - es |
| | - ru |
| | - ko |
| | - fr |
| | - ja |
| | - pt |
| | - tr |
| | - pl |
| | - ca |
| | - nl |
| | - ar |
| | - sv |
| | - it |
| | - id |
| | - hi |
| | - fi |
| | - vi |
| | - he |
| | - uk |
| | - el |
| | - ms |
| | - cs |
| | - ro |
| | - da |
| | - hu |
| | - ta |
| | - 'no' |
| | - th |
| | - ur |
| | - hr |
| | - bg |
| | - lt |
| | - la |
| | - mi |
| | - ml |
| | - cy |
| | - sk |
| | - te |
| | - fa |
| | - lv |
| | - bn |
| | - sr |
| | - az |
| | - sl |
| | - kn |
| | - et |
| | - mk |
| | - br |
| | - eu |
| | - is |
| | - hy |
| | - ne |
| | - mn |
| | - bs |
| | - kk |
| | - sq |
| | - sw |
| | - gl |
| | - mr |
| | - pa |
| | - si |
| | - km |
| | - sn |
| | - yo |
| | - so |
| | - af |
| | - oc |
| | - ka |
| | - be |
| | - tg |
| | - sd |
| | - gu |
| | - am |
| | - yi |
| | - lo |
| | - uz |
| | - fo |
| | - ht |
| | - ps |
| | - tk |
| | - nn |
| | - mt |
| | - sa |
| | - lb |
| | - my |
| | - bo |
| | - tl |
| | - mg |
| | - as |
| | - tt |
| | - haw |
| | - ln |
| | - ha |
| | - ba |
| | - jw |
| | - su |
| | tags: |
| | - audio |
| | - automatic-speech-recognition |
| | license: mit |
| | library_name: ctranslate2 |
| | --- |
| | |
| | # Whisper medium model for CTranslate2 |
| |
|
| | This repository contains the conversion of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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("medium") |
| | |
| | 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-medium --output_dir faster-whisper-medium \ |
| | --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-medium).** |
| |
|
