| 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 base model for CTranslate2 | |
| This repository contains the conversion of [openai/whisper-base](https://huggingface.co/openai/whisper-base) 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("base") | |
| 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 --output_dir faster-whisper-base \ | |
| --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).** | |