Model reference · open weights
F5-Hindi-24KHz is an open-weight audio or speech model from SPRINGLab. 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 | SPRINGLab |
|---|---|
| Type | Audio & music |
| Task | Text→speech |
| Runs with | f5-tts |
| Released | 2024-11-27 |
| Popularity | 1k downloads / month |
| Licence | Open weights |
About
This is a Hindi Text-to-Speech model trained from scratch using the F5 architecture.
The model was developed and is primarily intended for research purposes.
Clone the following github repo and refer to the README: https://github.com/rumourscape/F5-TTS
The model was trained on 8x A100 40GB GPUs for close to a week. We would like to thank CDAC for providing the compute resources.
We used the "small" configuration(151M parameter) model for training according to the F5 paper.
We used the Hindi subsets of IndicTTS and IndicVoices-R datasets for training this model.
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 f5-hindi-24khz for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (f5-hindi-24khz 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="f5-hindi-24khz" -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.