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livekit

turn-detector

livekit/turn-detector
Model details
text classificationLicense: unknownSHA-256 recorded for 9 of 14 filessafetensors · ONNX

Content controls: not assessed.

Listed for labeling text; for developers building text classifiers. Catalog sources: baseModel, task, cardMetadata.pipelineTag.

Informações do modelo

turn-detector is an open-weights language model for text classification. The primary file is model.safetensors (538 MB). The primary file needs about 2 GB free for the selected file. License: unknown. The SHA-256 prefix is 2f7b4c93c1cd. The primary Download is available now. No tested run commands for this file yet. The license label is unknown; availability is shown separately. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

O que está incluído

8 hosted of 14 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Sobre este modelo

External Hugging Face catalog record for livekit/turn-detector. Task: text classification. Library: transformers. Languages: en, es, fr, de, it, pt, nl, zh. Base model: Qwen/Qwen2.5-0.5B-Instruct. Popularity signal at import: 978,462 downloads and 147 likes.

Informações básicas

Hosted here
8 hosted of 14 listed
Full repo upstream
707.9 MB
Recommended file
538.1 MB · model.safetensors
Languages
en, es, fr, de, it, pt, nl, zh, ja, ko, id, tr
Format
safetensors · ONNX
Downloads on Hugging Face
978,462
File hashes
Hashes recorded. Date not recorded.

Licença e origem

License: unknown

No license was found in metadata, the LICENSE file or README. You can download the files; check the terms before you use or share them.

See the JSON record →

License
unknown
Task
text classification
Hosted here
8 files, 541.6 MB
Full repo upstream
707.9 MB
Recommended file
538.1 MB · model.safetensors
Files
8 hosted of 14 listed
Added to Hugging Bay
Updated at source
Source
livekit/turn-detector

FAQ

What is this model?

livekit/turn-detector is an open-weights language model for text classification published by livekit, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for text classification: livekit/turn-detector · transformers

Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

How big is it?

Hosted here: 8 files, 541.6 MB. Full repo upstream: 707.9 MB. The recommended download, model.safetensors, is 538.1 MB.

What can I download here?

Hosted here: 8 files, 541.6 MB. Full repo upstream: 707.9 MB.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-livekit-turn-detector/safety on Hugging Bay.

Will livekit/turn-detector run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.