README.md
| 1 | --- |
| 2 | language: |
| 3 | - en |
| 4 | tags: |
| 5 | - audio |
| 6 | - automatic-speech-recognition |
| 7 | license: mit |
| 8 | library_name: ctranslate2 |
| 9 | --- |
| 10 | |
| 11 | # Whisper tiny.en model for CTranslate2 |
| 12 | |
| 13 | 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. |
| 14 | |
| 15 | This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/systran/faster-whisper). |
| 16 | |
| 17 | ## Example |
| 18 | |
| 19 | ```python |
| 20 | from faster_whisper import WhisperModel |
| 21 | |
| 22 | model = WhisperModel("tiny.en") |
| 23 | |
| 24 | segments, info = model.transcribe("audio.mp3") |
| 25 | for segment in segments: |
| 26 | print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text)) |
| 27 | ``` |
| 28 | |
| 29 | ## Conversion details |
| 30 | |
| 31 | The original model was converted with the following command: |
| 32 | |
| 33 | ``` |
| 34 | ct2-transformers-converter --model openai/whisper-tiny.en --output_dir faster-whisper-tiny.en \ |
| 35 | --copy_files tokenizer.json --quantization float16 |
| 36 | ``` |
| 37 | |
| 38 | 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). |
| 39 | |
| 40 | ## More information |
| 41 | |
| 42 | **For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-tiny.en).** |
| 43 | |