Model reference · open weights
whisper-th-large-combined 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 |
| Runs with | transformers |
| Released | 2022-12-12 |
| Popularity | 573 downloads / month |
| Licence | Open weights |
About
This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 th dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1845 | 1.05 | 5000 | 0.1244 | 15.5103 |
From the published model card. Full card on the HuggingFace links in the sidebar.
Benchmarks
As published on the model card — the maker's own numbers, not measured by AxForge.
| Task | Dataset | Metric | Score |
|---|---|---|---|
| Automatic Speech Recognition | mozilla-foundation/common_voice_11_0 th | Wer | 15.510 |
Using it via the API
Once AxForge deploys whisper-th-large-combined for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (whisper-th-large-combined 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-large-combined" -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.