Question: commercial use of SenseVoiceSmall weights under MODEL_LICENSE (Android app, incl. users in China)

Offen
#3,795 0 Kommentare 0 Reaktionen 0 zugewiesene Personen Auf GitHub ansehen

Maintainer antworten meist innerhalb von 1 Tag

Dieses Issue hat noch niemand übernommen.

Bewertung

Schwierigkeit
1/5
Geschätzter Aufwand
Unter einer Stunde
Anfängerfreundlichkeit
20/100
Issue-Typ
Dokumentation
Klarheit
Klar beschrieben
Aktivitätsstatus
Aktiv
Tech-Stack
python
Bereich
documentation

Rechercherichtung

The question concerns SenseVoiceSmall's MODEL_LICENSE and its Hugging Face model card. Start by reviewing the license text and the linked Hugging Face discussion; the issue is resolved when the team clarifies commercial use, redistribution and attribution, and any relevant restrictions.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Beschreibung

needs triage question

Hi FunASR team,

I'm an independent developer building an offline travel interpreter app for Android (Korean / Chinese / Japanese / English). I would like to use SenseVoiceSmall (ONNX int8, run via sherpa-onnx) for fully on-device speech recognition.

The Hugging Face model card lists "license: other / model-license", which points to the MODEL_LICENSE file in this repository. I posted the same question there (https://huggingface.co/FunAudioLLM/SenseVoiceSmall/discussions/18) but have not received an answer yet.

Could you please clarify:

  1. Commercial use: May the SenseVoiceSmall weights be used inside a commercial app (free or paid) distributed through app stores, including to users in mainland China?
  2. Redistribution: May I bundle the converted (ONNX/int8) weights in the app package, or download them on first run? If so, what attribution (model name, source, license text) is required?
  3. Wording of the license: The license text mentions "reference / learning purposes" (section 3). Does this restrict use of the model inside an end-user application?
  4. Are there any restrictions from the training data or other upstream components that I should be aware of?

I only plan to ship the pretrained weights, not any training data. A short written answer here would help me decide whether I can ship it. If this is the wrong place to ask, please point me to the right channel.

Thank you!

Vorherrschende Sprache
Python
Sterne
21k
Forks
2.1k
Ø Merge
15 Std. 16 Min.
Gemergte PRs (30 T.)
85

Entwicklungsumgebung

Erste Schritte

  1. Lesen Sie das ganze Issue und danach den Beitragsleitfaden des Projekts.
  2. Schreiben Sie ins Issue, dass Sie es übernehmen — das erspart doppelte Arbeit.
  3. Forken Sie das Repository und arbeiten Sie in einem Branch.
  4. Öffnen Sie einen Pull Request, der die Issue-Nummer nennt.

Mehr aus modelscope/FunASR

Alle Issues in modelscope/FunASR

Ähnliche Issues

Weitere Issues zu Python

Neue Issues direkt in Ihr Postfach

Eine kurze Übersicht über anfängerfreundliche GitHub-Issues.