Model reference · open weights
whisper-th-small is an open-weight audio or speech model from biodatlab. 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 | biodatlab |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Parameters (lead) | 206M |
| Runs with | transformers |
| Released | 2024-01-16 |
| Popularity | 1k downloads / month |
| Licence | Open weights |
About
This is a distilled Automatic Speech Recognition (ASR) model, based on the Whisper architecture. It has been specifically tailored for Thai language speech recognition. The model features 4 decoder layers (vs 12 in teacher model) and has been distilled from a larger teacher model, focusing on enhancing performance and efficiency.
This shows an improvement in Word Error Rate (WER), indicating enhanced accuracy in speech recognition tasks for the Thai language.
This model is intended for use in applications requiring Thai language speech recognition.
This model was developed using resources and datasets provided by the speech and language technology community. Special thanks to the teams behind Common Voice, Gowajee, SLSCU, and the Thai Elderly Speech Corpus for their valuable datasets.
Cite using Bibtex:
@misc {thonburian_whisper_med,
author = { Atirut Boribalburephan, Zaw Htet Aung, Knot Pipatsrisawat, Titipat Achakulvisut },
title = { Thonburian Whisper: A fine-tuned Whisper model for Thai automatic speech recognition },
year = 2022,
url = { https://huggingface.co/biodatlab/distil-whisper-th-small },
doi = { 10.57967/hf/0226 },
publisher = { Hugging Face }
}
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys whisper-th-small for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (whisper-th-small 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-th-small" -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.