Model reference · open weights
whisper-small-wolof is an open-weight audio or speech model from M9and2M. 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 | M9and2M |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Parameters (lead) | 242M |
| Runs with | transformers |
| Released | 2024-06-27 |
| Popularity | 537 downloads / month |
| Licence | Open weights |
About
This repository hosts an Automatic Speech Recognition (ASR) model for the Wolof language, fine-tuned from OpenAI's Whisper-small model. This model aims to provide accurate transcription of Wolof audio data.
The dataset used for training and evaluating this model is a collection from various sources, ensuring a rich and diverse set of Wolof audio samples. The collection is available in my Hugging Face account is used by keeping only the audios with duration shorter than 6 second.
For detailed information about the dataset, please refer to the M9and2M/Wolof_ASR_dataset.
The training process was adapted from the code in the Finetune Wa2vec 2.0 For Speech Recognition written to fine-tune Wav2Vec2.0 for speech recognition. Special thanks to the author, Duy Khanh, Le for providing a robust and flexible training framework.
The model was trained with the following configuration:
This model was built using OpenAI's Whisper-small architecture and fine-tuned with a dataset collected from various sources. Special thanks to the creators and contributors of the dataset.
This model has been developed in the context of my Master Thesis at ETSIT-UPM, Madrid under the supervision of Prof. Luis A. Hernández Gómez.
For any inquiries or questions, please contact mamadou.marone@ensea.fr
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys whisper-small-wolof for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (whisper-small-wolof 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="whisper-small-wolof" -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.