# Deploy speaker-diarization-community-1 on dedicated GPUs

speaker-diarization-community-1 by pyannote, deployable on sference as a dedicated deployment: reserved GPU capacity, private endpoint, European GPUs, billed per GPU-hour on monthly commitments. Request it at https://sference.com/models/pyannote/speaker-diarization-community-1.

## Specs

- Hugging Face: https://huggingface.co/pyannote/speaker-diarization-community-1
- Category: Speech recognition
- Parameters: —
- Architecture: Dense
- Context: — tokens
- Published precision: —
- Checkpoint size: —
- Minimum footprint: —
- License: CC BY 4.0 (Commercial use allowed)

## 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.

Facts from Hugging Face, synced 2026-10-27. All deployable models: https://sference.com/dedicated.md