Deploy speaker-diarization-community-1
speaker-diarization-community-1 by pyannote on GPU capacity reserved for you: a private OpenAI-compatible endpoint, every request processed on European GPUs and logged in your audit trail, billed per GPU-hour on a monthly commitment.
- Maker
- pyannote
- Params
- —
- Context
- —
- Architecture
- Dense
- License
- CC BY 4.0
- Released
- 2025-04-15
Footprint
The published checkpoint doesn't state its size in a form we can read automatically. Send a request and we'll come back with the footprint.
License
CC BY 4.0Commercial use allowed
Commercial use allowed with attribution to the model maker. The weights are gated on Hugging Face: accept the maker's terms on the model page. Read the license. Not legal advice.
FAQ
Can I run speaker-diarization-community-1 on a dedicated deployment in Europe?
Yes. sference deploys speaker-diarization-community-1 on GPU capacity reserved for you, behind a private endpoint, with every request processed on European GPUs and logged in your audit trail. Tell us your expected volume and latency targets with the form on this page and we come back with a sizing and a quote.
Is speaker-diarization-community-1 licensed for commercial use?
speaker-diarization-community-1 is published under the CC BY 4.0 license. Commercial use allowed with attribution to the model maker.
How is a dedicated deployment priced?
Per GPU-hour on a monthly commitment, sized to your throughput and latency targets.
Related models
Request speaker-diarization-community-1
Tell us roughly how much traffic you expect. A fine-tune of speaker-diarization-community-1? Mention it in the notes.
- 01We size it
A performance tier, the capacity behind it, and a quote for your volume.
- 02We benchmark it
Bring one workload with a sample of real traffic; we come back with latency and throughput numbers.
- 03It goes live
We provision the deployment. You call it with the same API and model id as before.
Specs from Hugging Face, synced 2026-10-27. Machine-readable version: https://sference.com/models/pyannote/speaker-diarization-community-1.md