Model reference · open weights
faster-whisper-large-ct2 is an open-weight audio or speech model from deepdml. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | deepdml |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Runs with | ctranslate2 |
| Released | 2024-10-01 |
| Popularity | 92k downloads / month |
| Licence | Open weights |
About
This repository contains the conversion of deepdml/whisper-large-v3-turbo to the CTranslate2 model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.
from faster_whisper import WhisperModel
model = WhisperModel("deepdml/faster-whisper-large-v3-turbo-ct2")
segments, info = model.transcribe("audio.mp3")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
The original model was converted with the following command:
ct2-transformers-converter --model deepdml/whisper-large-v3-turbo --output_dir faster-whisper-large-v3-turbo \
--copy_files tokenizer.json preprocessor_config.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.
For more information about the original model, see its model card.
Please cite the model using the following BibTeX entry:
@misc{deepdml/faster-whisper-large-v3-turbo-ct2,
title={Faster Whisper ct2 large-v3 turbo},
author={Jimenez, David},
howpublished={\url{https://huggingface.co/deepdml/faster-whisper-large-v3-turbo-ct2}},
year={2024}
}
From the published model card. Full card on the HuggingFace links in the sidebar.
How it works
Using it via the API
Once AxForge deploys faster-whisper-large-ct2 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (faster-whisper-large-ct2 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="faster-whisper-large-ct2" -F file=@audio.mp3
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.