Model reference · open weights
faster-whisper-small-hindi is an open-weight audio or speech model from collabora. 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
| Maker | collabora |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Runs with | ctranslate2 |
| Released | 2025-01-22 |
| Popularity | 23 downloads / month |
| Licence | Open weights |
About
This repository contains the conversion of collabora/whisper-small-hindi 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("collabora/faster-whisper-small-hindi")
segments, info = model.transcribe("audio.mp3")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
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-small-hindi for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (faster-whisper-small-hindi 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-small-hindi" -F file=@audio.mp3
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.