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Paper page - GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface
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https://huggingface.co/spaces/fastino/random-demo

\n","updatedAt":"2025-07-25T12:29:26.997Z","author":{"_id":"62111fdbe1d974ee5bcbfa27","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62111fdbe1d974ee5bcbfa27/YUzX6lBvW8pbxDorx1kgV.png","fullname":"Urchade Zaratiana","name":"urchade","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":250,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.8233062624931335},"editors":["urchade"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/62111fdbe1d974ee5bcbfa27/YUzX6lBvW8pbxDorx1kgV.png"],"reactions":[{"reaction":"๐Ÿ”ฅ","users":["stefan-it","rntc","Ash-lewis","freinold","nayan-mehta","rafmacalaba","random-walk-jin","Yikenick"],"count":8}],"isReport":false,"parentCommentId":"6883373caa5807bb1c99950c"}},{"id":"688fd46c0a6206841327078c","author":{"_id":"6880f9e1c974429d1800f8f2","avatarUrl":"/avatars/91e81a116f36609fd5213a15469bc6db.svg","fullname":"Eric Chen","name":"ericxtchen","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2025-08-03T21:28:12.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"When will the github repo become public?","html":"

When will the github repo become public?

\n","updatedAt":"2025-08-03T21:28:12.089Z","author":{"_id":"6880f9e1c974429d1800f8f2","avatarUrl":"/avatars/91e81a116f36609fd5213a15469bc6db.svg","fullname":"Eric Chen","name":"ericxtchen","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9113630056381226},"editors":["ericxtchen"],"editorAvatarUrls":["/avatars/91e81a116f36609fd5213a15469bc6db.svg"],"reactions":[{"reaction":"โž•","users":["nayan-mehta","rafmacalaba","brody-taylor","swapnilc87","misi00003","GeorgSim","JonKronk"],"count":7},{"reaction":"๐Ÿ‘€","users":["nayan-mehta","rafmacalaba","swapnilc87","misi00003"],"count":4}],"isReport":false,"parentCommentId":"6883373caa5807bb1c99950c"}},{"id":"691c137b0c41cfc76078c2d8","author":{"_id":"637882e73f575acc2f61d9b7","avatarUrl":"/avatars/b4e54c11b2be93208a8cedf02d2c534d.svg","fullname":"Mustafa Keskin","name":"mustfkeskin","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2025-11-18T06:34:35.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"How can I train this for different language?","html":"

How can I train this for different language?

\n","updatedAt":"2025-11-18T06:34:35.710Z","author":{"_id":"637882e73f575acc2f61d9b7","avatarUrl":"/avatars/b4e54c11b2be93208a8cedf02d2c534d.svg","fullname":"Mustafa Keskin","name":"mustfkeskin","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9388238787651062},"editors":["mustfkeskin"],"editorAvatarUrls":["/avatars/b4e54c11b2be93208a8cedf02d2c534d.svg"],"reactions":[],"isReport":false,"parentCommentId":"6883373caa5807bb1c99950c"}}]},{"id":"688430f8f788c702d8e529a5","author":{"_id":"63d3e0e8ff1384ce6c5dd17d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg","fullname":"Librarian Bot (Bot)","name":"librarian-bot","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":318,"isUserFollowing":false},"createdAt":"2025-07-26T01:35:52.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Lightweight Prompt Biasing for Contextualized End-to-End ASR Systems](https://huggingface.co/papers/2506.06252) (2025)\n* [Schema as Parameterized Tools for Universal Information Extraction](https://huggingface.co/papers/2506.01276) (2025)\n* [Efficient Text Encoders for Labor Market Analysis](https://huggingface.co/papers/2505.24640) (2025)\n* [Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger](https://huggingface.co/papers/2506.07785) (2025)\n* [GuideX: Guided Synthetic Data Generation for Zero-Shot Information Extraction](https://huggingface.co/papers/2506.00649) (2025)\n* [EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models](https://huggingface.co/papers/2505.23038) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`","html":"

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Hi, nice work!

\n

I am wondering when would you publish your model, thank you!

\n","updatedAt":"2025-08-09T22:18:48.265Z","author":{"_id":"671a8ea7ff37ba3757cac778","avatarUrl":"/avatars/80f4a2a895d05763a39d85cba6aa206c.svg","fullname":"Kevin Liu","name":"kevinProrata","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.956669270992279},"editors":["kevinProrata"],"editorAvatarUrls":["/avatars/80f4a2a895d05763a39d85cba6aa206c.svg"],"reactions":[{"reaction":"โž•","users":["ericxtchen","alromb","dersteppenwolf","freinold","ZenAn","JonKronk"],"count":6}],"isReport":false}},{"id":"68aec6281a123a448aac2d4c","author":{"_id":"63f57ad43aa49d8cb97d5243","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1677032315007-63f57ad43aa49d8cb97d5243.png","fullname":"Zenan","name":"ZenAn","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2025-08-27T08:47:36.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Please let us know whether the model will be open source.","html":"

Please let us know whether the model will be open source.

\n","updatedAt":"2025-08-27T08:47:36.907Z","author":{"_id":"63f57ad43aa49d8cb97d5243","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1677032315007-63f57ad43aa49d8cb97d5243.png","fullname":"Zenan","name":"ZenAn","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.7980754971504211},"editors":["ZenAn"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/1677032315007-63f57ad43aa49d8cb97d5243.png"],"reactions":[],"isReport":false},"replies":[{"id":"68aee5aa31b2a82269b85a2b","author":{"_id":"62111fdbe1d974ee5bcbfa27","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62111fdbe1d974ee5bcbfa27/YUzX6lBvW8pbxDorx1kgV.png","fullname":"Urchade Zaratiana","name":"urchade","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":250,"isUserFollowing":false},"createdAt":"2025-08-27T11:02:02.000Z","type":"comment","data":{"edited":true,"hidden":false,"latest":{"raw":"it will be open source","html":"

it will be open source

\n","updatedAt":"2025-08-27T16:56:59.687Z","author":{"_id":"62111fdbe1d974ee5bcbfa27","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62111fdbe1d974ee5bcbfa27/YUzX6lBvW8pbxDorx1kgV.png","fullname":"Urchade Zaratiana","name":"urchade","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":250,"isUserFollowing":false}},"numEdits":1,"identifiedLanguage":{"language":"en","probability":0.6109070181846619},"editors":["urchade"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/62111fdbe1d974ee5bcbfa27/YUzX6lBvW8pbxDorx1kgV.png"],"reactions":[{"reaction":"๐Ÿ”ฅ","users":["Yikenick"],"count":1}],"isReport":false,"parentCommentId":"68aec6281a123a448aac2d4c"}}]},{"id":"68b794632d46ce250aefafc3","author":{"_id":"619da9761267e7fc28a900d0","avatarUrl":"/avatars/d90ed052efce879ee159614505852c21.svg","fullname":"Lee Jung Bang","name":"bangbang","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":2,"isUserFollowing":false},"createdAt":"2025-09-03T01:05:39.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"multi lingual please, you so good","html":"

multi lingual please, you so good

\n","updatedAt":"2025-09-03T01:05:39.125Z","author":{"_id":"619da9761267e7fc28a900d0","avatarUrl":"/avatars/d90ed052efce879ee159614505852c21.svg","fullname":"Lee Jung Bang","name":"bangbang","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":2,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.8396545648574829},"editors":["bangbang"],"editorAvatarUrls":["/avatars/d90ed052efce879ee159614505852c21.svg"],"reactions":[{"reaction":"๐Ÿค","users":["urchade"],"count":1}],"isReport":false}},{"id":"68c77a39b6a19eece04a8c0d","author":{"_id":"65f2cebafa804be7df4f7ce7","avatarUrl":"/avatars/6dafb5043a5598a19159331d9c51a85a.svg","fullname":"Swapnil Chaudhari","name":"swapnilc87","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2025-09-15T02:30:17.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"great work! Any idea when github repo will be available and are there any pretrained models already published?","html":"

great work! Any idea when github repo will be available and are there any pretrained models already published?

\n","updatedAt":"2025-09-15T02:30:17.025Z","author":{"_id":"65f2cebafa804be7df4f7ce7","avatarUrl":"/avatars/6dafb5043a5598a19159331d9c51a85a.svg","fullname":"Swapnil Chaudhari","name":"swapnilc87","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9057371616363525},"editors":["swapnilc87"],"editorAvatarUrls":["/avatars/6dafb5043a5598a19159331d9c51a85a.svg"],"reactions":[],"isReport":false}},{"id":"68ef639b2c53191afad6fb21","author":{"_id":"67aa5fa48642da4d6946e4e9","avatarUrl":"/avatars/e3ee7068a6925c297044da0de73aa03c.svg","fullname":"Jonatan Kronander","name":"JonKronk","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2025-10-15T09:04:27.000Z","type":"comment","data":{"edited":true,"hidden":false,"latest":{"raw":"Awesome work ๐Ÿ™Œ ","html":"

Awesome work ๐Ÿ™Œ

\n","updatedAt":"2025-10-15T11:50:05.503Z","author":{"_id":"67aa5fa48642da4d6946e4e9","avatarUrl":"/avatars/e3ee7068a6925c297044da0de73aa03c.svg","fullname":"Jonatan Kronander","name":"JonKronk","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":1,"identifiedLanguage":{"language":"en","probability":0.9149240255355835},"editors":["JonKronk"],"editorAvatarUrls":["/avatars/e3ee7068a6925c297044da0de73aa03c.svg"],"reactions":[],"isReport":false}},{"id":"68ef8627ec0fce6002f63590","author":{"_id":"68ac2304e084142a3f11e3b5","avatarUrl":"/avatars/b36986bd7407ebf4891b726e324c55eb.svg","fullname":"Tushar Gupta","name":"gtusharr","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2025-10-15T11:31:51.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Can i get the model weights?","html":"

Can i get the model weights?

\n","updatedAt":"2025-10-15T11:31:51.559Z","author":{"_id":"68ac2304e084142a3f11e3b5","avatarUrl":"/avatars/b36986bd7407ebf4891b726e324c55eb.svg","fullname":"Tushar Gupta","name":"gtusharr","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9711862206459045},"editors":["gtusharr"],"editorAvatarUrls":["/avatars/b36986bd7407ebf4891b726e324c55eb.svg"],"reactions":[],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2507.18546","authors":[{"_id":"688335fe846d2e78b7548ba7","user":{"_id":"62111fdbe1d974ee5bcbfa27","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62111fdbe1d974ee5bcbfa27/YUzX6lBvW8pbxDorx1kgV.png","isPro":false,"fullname":"Urchade Zaratiana","user":"urchade","type":"user"},"name":"Urchade Zaratiana","status":"claimed_verified","statusLastChangedAt":"2025-07-28T08:45:59.130Z","hidden":false},{"_id":"688335fe846d2e78b7548ba8","name":"Gil Pasternak","hidden":false},{"_id":"688335fe846d2e78b7548ba9","name":"Oliver Boyd","hidden":false},{"_id":"688335fe846d2e78b7548baa","name":"George Hurn-Maloney","hidden":false},{"_id":"688335fe846d2e78b7548bab","name":"Ash Lewis","hidden":false}],"mediaUrls":["https://cdn-uploads.huggingface.co/production/uploads/5e6a3d4ea9afd5125d9ec064/LkSJWb7jx2Js7OVwSPV9g.png"],"publishedAt":"2025-07-24T16:11:14.000Z","submittedOnDailyAt":"2025-07-25T06:20:20.273Z","title":"GLiNER2: An Efficient Multi-Task Information Extraction System with\n Schema-Driven Interface","submittedOnDailyBy":{"_id":"5e6a3d4ea9afd5125d9ec064","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1584020801691-noauth.jpeg","isPro":true,"fullname":"Stefan Schweter","user":"stefan-it","type":"user"},"summary":"Information extraction (IE) is fundamental to numerous NLP applications, yet\nexisting solutions often require specialized models for different tasks or rely\non computationally expensive large language models. We present GLiNER2, a\nunified framework that enhances the original GLiNER architecture to support\nnamed entity recognition, text classification, and hierarchical structured data\nextraction within a single efficient model. Built pretrained transformer\nencoder architecture, GLiNER2 maintains CPU efficiency and compact size while\nintroducing multi-task composition through an intuitive schema-based interface.\nOur experiments demonstrate competitive performance across extraction and\nclassification tasks with substantial improvements in deployment accessibility\ncompared to LLM-based alternatives. We release GLiNER2 as an open-source\npip-installable library with pre-trained models and documentation at\nhttps://github.com/fastino-ai/GLiNER2.","upvotes":33,"discussionId":"688335fe846d2e78b7548bac","githubRepo":"https://github.com/fastino-ai/GLiNER2","githubRepoAddedBy":"user","ai_summary":"GLiNER2 is a unified transformer-based framework that supports multiple NLP tasks with improved efficiency and accessibility compared to large language models.","ai_keywords":["transformer encoder","multi-task composition","schema-based interface"],"githubStars":852},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"620783f24e28382272337ba4","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/620783f24e28382272337ba4/zkUveQPNiDfYjgGhuFErj.jpeg","isPro":false,"fullname":"GuoLiangTang","user":"Tommy930","type":"user"},{"_id":"5e6a3d4ea9afd5125d9ec064","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1584020801691-noauth.jpeg","isPro":true,"fullname":"Stefan Schweter","user":"stefan-it","type":"user"},{"_id":"60bccec062080d33f875cd0c","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60bccec062080d33f875cd0c/KvEhYxx9-Tff_Qb7PsjAL.png","isPro":true,"fullname":"Peter Szemraj","user":"pszemraj","type":"user"},{"_id":"648eb1eb59c4e5c87dc116e0","avatarUrl":"/avatars/c636cea39c2c0937f01398c94ead5dad.svg","isPro":false,"fullname":"fdsqefsgergd","user":"T-representer","type":"user"},{"_id":"66c3089db83a7e94d533f2da","avatarUrl":"/avatars/ae21a3a08900016b34c34dfcfee2b9c0.svg","isPro":false,"fullname":"Oliver Boyd","user":"o8fastino","type":"user"},{"_id":"62111fdbe1d974ee5bcbfa27","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62111fdbe1d974ee5bcbfa27/YUzX6lBvW8pbxDorx1kgV.png","isPro":false,"fullname":"Urchade Zaratiana","user":"urchade","type":"user"},{"_id":"62a9b0acf6708cb85014f9dc","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62a9b0acf6708cb85014f9dc/Sem1qcBt1lJjFEPK-xz4_.jpeg","isPro":false,"fullname":"Rian Touchent","user":"rntc","type":"user"},{"_id":"646cb820a3961c7e3f0e976e","avatarUrl":"/avatars/c89c229ff603ae44ac11ace4b156921e.svg","isPro":false,"fullname":"Casanova","user":"Zarinah","type":"user"},{"_id":"663ccbff3a74a20189d4aa2e","avatarUrl":"/avatars/83a54455e0157480f65c498cd9057cf2.svg","isPro":false,"fullname":"Nguyen Van Thanh","user":"NguyenVanThanhHust","type":"user"},{"_id":"66200c685c7af6bb12e399ff","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/66200c685c7af6bb12e399ff/vygJowQM0nLrhn86tiNdX.jpeg","isPro":false,"fullname":"Ash Lewis","user":"Ash-lewis","type":"user"},{"_id":"652b0c94375b3a8bc16a61ae","avatarUrl":"/avatars/a7857f4fb5785c4a1dbff87f7cc675e8.svg","isPro":false,"fullname":"Afonso Marques","user":"marquesafonso","type":"user"},{"_id":"629f3b18ee05727ce328ccbe","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1669189789447-629f3b18ee05727ce328ccbe.jpeg","isPro":false,"fullname":"Kashif Rasul","user":"kashif","type":"user"}],"acceptLanguages":["*"],"dailyPaperRank":0}">
Papers
arxiv:2507.18546

GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface

Published on Jul 24, 2025
ยท Submitted by
Stefan Schweter
on Jul 25, 2025
Authors:
,
,
,

Abstract

GLiNER2 is a unified transformer-based framework that supports multiple NLP tasks with improved efficiency and accessibility compared to large language models.

AI-generated summary

Information extraction (IE) is fundamental to numerous NLP applications, yet existing solutions often require specialized models for different tasks or rely on computationally expensive large language models. We present GLiNER2, a unified framework that enhances the original GLiNER architecture to support named entity recognition, text classification, and hierarchical structured data extraction within a single efficient model. Built pretrained transformer encoder architecture, GLiNER2 maintains CPU efficiency and compact size while introducing multi-task composition through an intuitive schema-based interface. Our experiments demonstrate competitive performance across extraction and classification tasks with substantial improvements in deployment accessibility compared to LLM-based alternatives. We release GLiNER2 as an open-source pip-installable library with pre-trained models and documentation at https://github.com/fastino-ai/GLiNER2.

Community

Paper submitter

So cool, really great work guys!

ยท
Paper author

Thanks stefan, for the support. We will publish the repo soon. Meanwhile, you can try a model here: https://huggingface.co/spaces/fastino/random-demo

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Hi, nice work!

I am wondering when would you publish your model, thank you!

Please let us know whether the model will be open source.

ยท
Paper author
โ€ข
edited Aug 27, 2025

it will be open source

multi lingual please, you so good

great work! Any idea when github repo will be available and are there any pretrained models already published?

Awesome work ๐Ÿ™Œ

Can i get the model weights?

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