{"schema":"record/v1","id":"src_01M6V8ETC68RASAA4MDB69DDMQ","type":"source","revision":1,"etag":"\"r1.s0\"","title":"FunASR: speech recognition toolkit for offline, streaming and edge use, README overview","summary":"The README presents FunASR as a speech recognition toolkit for offline, streaming and edge use, with models for ASR, VAD, punctuation, speaker work and more.","status":"active","body":{"text":"What it supplies: The README presents FunASR as a speech recognition toolkit for offline, streaming and edge use, with models for ASR, VAD, punctuation, speaker work and more.\n\nUseful for: - Transcribe audio with Fun-ASR-Nano through the Transformers CPU quickstart or the toolkit.\n- Choose a checkpoint by language coverage.\n- Serve recognition through an OpenAI-compatible interface as the README lists.\n\nFirst action: - Install with pip install torch torchaudio then pip install funasr.\n- For GPU, install matching PyTorch wheels and confirm the GPU is visible before using the cuda device.\n- Load AutoModel with a model name and call generate on an audio input.\n\nPrerequisites and limits: The README uses PyTorch and torchaudio, with wheels that match the NVIDIA driver for GPU use, and names Transformers 5.17.0 for the native CPU quickstart.\n\n- Language coverage depends on the checkpoint chosen.\n- Model weights have separate licence terms.\n- Model tables and deployment guides were not read here.\n\nSource-documented: the toolkit source is MIT licensed, but pretrained model weights are licensed separately; check each model card and any linked model licence agreement before use.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README opening, quick start and licence text only; model tables, deployment docs and code were not read. Nothing was installed or run.\n\nSource inspected: https://raw.githubusercontent.com/modelscope/FunASR/efe5504e388613e5298e1f93d5ca9f861700b489/README.md ; 26557 bytes ; sha256 89704421a5c6bdc2619269e74db7263016fcc34a6d6da5f1c9c2d108b33bb674 ; 8 exact pinned excerpts in the draft pin map","archived":null,"revision":{"ref":"commit efe5504e388613e5298e1f93d5ca9f861700b489","pinned":false,"source_url":"https://raw.githubusercontent.com/modelscope/FunASR/efe5504e388613e5298e1f93d5ca9f861700b489/README.md"},"checked_at":"2026-11-07T11:05:04.213Z","parent_url":null,"usefulness":"- Transcribe audio with Fun-ASR-Nano through the Transformers CPU quickstart or the toolkit.\n- Choose a checkpoint by language coverage.\n- Serve recognition through an OpenAI-compatible interface as the README lists.","source_type":"repository","availability":"available","dependencies":[],"source_owner":"ModelScope (declared repository namespace)","canonical_url":"https://github.com/modelscope/funasr","next_check_at":null,"successor_url":null,"hardware_notes":null,"known_limitations":["The README uses PyTorch and torchaudio, with wheels that match the NVIDIA driver for GPU use, and names Transformers 5.17.0 for the native CPU quickstart.\n\n- Language coverage depends on the checkpoint chosen.\n- Model weights have separate licence terms.\n- Model tables and deployment guides were not read here.\n\nSource-documented: the toolkit source is MIT licensed, but pretrained model weights are licensed separately; check each model card and any linked model licence agreement before use.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README opening, quick start and licence text only; model tables, deployment docs and code were not read. Nothing was installed or run.","Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. Internal affiliated review is not independent validation."],"upstream_updated_at":null},"categories":["T13"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[],"execution_record_ids":[]},"rights":[{"notes":"Only the team-authored original attributed summary and links are covered. 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Statements are as the README gives them; nothing was installed or run.\nBased on README opening, quick start and licence text only; model tables, deployment docs and code were not read. Nothing was installed or run.\n\nSource inspected: https://raw.githubusercontent.com/modelscope/FunASR/efe5504e388613e5298e1f93d5ca9f861700b489/README.md ; 26557 bytes ; sha256 89704421a5c6bdc2619269e74db7263016fcc34a6d6da5f1c9c2d108b33bb674 ; 8 exact pinned excerpts in the draft pin map","revision":{"ref":"commit efe5504e388613e5298e1f93d5ca9f861700b489","pinned":false,"source_url":"https://raw.githubusercontent.com/modelscope/FunASR/efe5504e388613e5298e1f93d5ca9f861700b489/README.md"},"checked_at":"2026-11-07T11:05:04.213Z","usefulness":"- Transcribe audio with Fun-ASR-Nano through the Transformers CPU quickstart or the toolkit.\n- Choose a checkpoint by language coverage.\n- Serve recognition through an OpenAI-compatible interface as the README lists.","source_type":"repository","availability":"available","source_owner":"ModelScope (declared repository namespace)","canonical_url":"https://github.com/modelscope/funasr","known_limitations":["The README uses PyTorch and torchaudio, with wheels that match the NVIDIA driver for GPU use, and names Transformers 5.17.0 for the native CPU quickstart.\n\n- Language coverage depends on the checkpoint chosen.\n- Model weights have separate licence terms.\n- Model tables and deployment guides were not read here.\n\nSource-documented: the toolkit source is MIT licensed, but pretrained model weights are licensed separately; check each model card and any linked model licence agreement before use.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README opening, quick start and licence text only; model tables, deployment docs and code were not read. Nothing was installed or run.","Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. Internal affiliated review is not independent validation."]},"tags":[],"type":"source","title":"FunASR: speech recognition toolkit for offline, streaming and edge use, README overview","rights":[{"notes":"Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied.","hosting":"permitted","component":"documentation","license_id":null,"modification":"permitted","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"The README presents FunASR as a speech recognition toolkit for offline, streaming and edge use, with models for ASR, VAD, punctuation, speaker work and more.","evidence":{"review":"unreviewed","execution":"not_run","inspection":"source_inspected"},"language":"en","categories":["T13"],"extensions":{"curation/v1":{"curator":"windows-claude-t3","revision":1,"topic_ids":[],"confidence":"Source-linked original summary checked by its author; not independently reviewed; execution not performed.","limitations":["The README uses PyTorch and torchaudio, with wheels that match the NVIDIA driver for GPU use, and names Transformers 5.17.0 for the native CPU quickstart.\n\n- Language coverage depends on the checkpoint chosen.\n- Model weights have separate licence terms.\n- Model tables and deployment guides were not read here.\n\nSource-documented: the toolkit source is MIT licensed, but pretrained model weights are licensed separately; check each model card and any linked model licence agreement before use.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README opening, quick start and licence text only; model tables, deployment docs and code were not read. Nothing was installed or run.","Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. 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Statements are as the README gives them; nothing was installed or run.\nBased on README opening, quick start and licence text only; model tables, deployment docs and code were not read. Nothing was installed or run.","Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. 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