{"schema_version":"onlylabs.public_signal.v1","title":"Cohere Fork: cohere-ai/setfit_hf","description":"Cohere fork signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/9e4fe1f8-1393-477f-b8da-1a8f2e416758","json_url":"https://onlylabs.fyi/signals/9e4fe1f8-1393-477f-b8da-1a8f2e416758/signal.json","generated_at":"2026-06-11T03:18:23.151277+00:00","org":{"slug":"cohere","name":"Cohere","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/cohere","dossier_json_url":"https://onlylabs.fyi/labs/cohere/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/9e4fe1f8-1393-477f-b8da-1a8f2e416758","signal_json":"https://onlylabs.fyi/signals/9e4fe1f8-1393-477f-b8da-1a8f2e416758/signal.json","source":"https://github.com/cohere-ai/setfit_hf","lab_dossier":"https://onlylabs.fyi/labs/cohere","lab_dossier_json":"https://onlylabs.fyi/labs/cohere/dossier.json","analysis":"https://onlylabs.fyi/analysis/cohere","analysis_json":"https://onlylabs.fyi/analysis/cohere/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/cohere/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/forks","topic_signals_json":"https://onlylabs.fyi/topics/forks/signals.json","topic_feed":"https://onlylabs.fyi/topics/forks/feed.xml","data_business":null},"answer_pack":{"answer":"Cohere forked cohere-ai/setfit_hf (forked from huggingface/setfit). 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1."},{"subject":"cohere-ai/setfit_hf","predicate":"has readable page count","object":"1","text":"cohere-ai/setfit_hf has readable page count 1."},{"subject":"cohere-ai/setfit_hf","predicate":"has related signal count","object":"6","text":"cohere-ai/setfit_hf has related signal count 6."},{"subject":"cohere-ai/setfit_hf","predicate":"has analysis playbook objective","object":"Turn fork activity into a map of upstream tools, libraries, model utilities, agent frameworks, and research dependencies being inspected or adapted.","text":"cohere-ai/setfit_hf has analysis playbook objective Turn fork activity into a map of upstream tools, libraries, model utilities, agent frameworks, and research dependencies being inspected or adapted.."},{"subject":"cohere-ai/setfit_hf","predicate":"has source host","object":"github.com","text":"cohere-ai/setfit_hf has source host github.com."},{"subject":"cohere-ai/setfit_hf","predicate":"has lab","object":"Cohere","text":"cohere-ai/setfit_hf has lab 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has watch term Infrastructure."}]},"intelligence":{"signal_desk":"forks","answer":"Cohere forked cohere-ai/setfit_hf (forked from huggingface/setfit). This fork signal points to upstream code the lab may be inspecting, patching, or building on. 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It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per class on the Customer Reviews sentiment dataset, SetFit is competitive with fine-tuning RoBERTa Large on the full training set of 3k examples 🤯! Compared to other few-shot learning methods, SetFit has several unique features: * 🗣 **No prompts or verbalisers:** Current techniques..."},"evidence_pages":[{"url":"https://github.com/cohere-ai/setfit_hf","final_url":"https://github.com/cohere-ai/setfit_hf","title":"cohere-ai/setfit_hf repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:18:23.151277+00:00","bytes":36480,"raw_path":"3c1ad89cf85da43838bc88df75b8e322edca052655365b47ebda8a99151dd499.json","content_hash":"39fd55cfe7a88b8b17dc03488ab46df9f525866eac1d8dfab001ad52ab81de3f","excerpt_chars":1200,"truncated":true,"excerpt":"cohere-ai/setfit_hf Description: Efficient few-shot learning with Sentence Transformers License: Apache-2.0 Stars: 0 Forks: 0 Open issues: 3 Created: 2023-02-10T02:25:04Z Pushed: 2024-07-25T10:25:49Z Default branch: main Fork: yes Parent repository: huggingface/setfit Archived: no README: <img src=\"https://raw.githubusercontent.com/huggingface/setfit/main/assets/setfit.png\"> <p align=\"center\"> 🤗 <a href=\"https://huggingface.co/setfit\" target=\"_blank\">Models & Datasets</a> | 📖 <a href=\"https://huggingface.co/blog/setfit\" target=\"_blank\">Blog</a> | 📃 <a href=\"https://arxiv.org/abs/2209.11055\" target=\"_blank\">Paper</a> </p> SetFit - Efficient Few-shot Learning with Sentence Transformers SetFit is an efficient and prompt-free framework for few-shot fine-tuning of [Sentence Transformers](https://sbert.net/). It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per class on the Customer Reviews sentiment dataset, SetFit is competitive with fine-tuning RoBERTa Large on the full training set of 3k examples 🤯! Compared to other few-shot learning methods, SetFit has several unique features: * 🗣 **No prompts or verbalisers:** Current techniques..."}],"related_signals":[{"id":"88ee0905-8a8b-4416-b76e-2c0b33e7a306","url":"https://onlylabs.fyi/signals/88ee0905-8a8b-4416-b76e-2c0b33e7a306","source_url":"https://github.com/cohere-ai/guest-components","title":"cohere-ai/guest-components","context":"forked from confidential-containers/guest-components","kind":{"key":"repo_forked","label":"Fork"},"org":{"slug":"cohere","name":"Cohere","category":"frontier-lab"},"occurred_at":"2026-03-25T13:11:07+00:00","first_seen_at":"2026-06-05T05:43:00.174979+00:00","date_source":"source"},{"id":"2f2cd546-954d-462b-a9b5-268f5d0f3829","url":"https://onlylabs.fyi/signals/2f2cd546-954d-462b-a9b5-268f5d0f3829","source_url":"https://github.com/cohere-ai/TNG","title":"cohere-ai/TNG","context":"forked from inclavare-containers/TNG","kind":{"key":"repo_forked","label":"Fork"},"org":{"slug":"cohere","name":"Cohere","category":"frontier-lab"},"occurred_at":"2026-03-11T19:13:15+00:00","first_seen_at":"2026-06-05T05:43:00.174979+00:00","date_source":"source"},{"id":"d547bca4-69a0-4b07-afd1-8ab9ef148ffe","url":"https://onlylabs.fyi/signals/d547bca4-69a0-4b07-afd1-8ab9ef148ffe","source_url":"https://github.com/cohere-ai/cloud-api-adaptor","title":"cohere-ai/cloud-api-adaptor","context":"forked from confidential-containers/cloud-api-adaptor","kind":{"key":"repo_forked","label":"Fork"},"org":{"slug":"cohere","name":"Cohere","category":"frontier-lab"},"occurred_at":"2026-03-04T20:37:51+00:00","first_seen_at":"2026-06-05T05:43:00.174979+00:00","date_source":"source"},{"id":"cf42b47d-e7a3-4b4c-8aaa-b57bbbf70d67","url":"https://onlylabs.fyi/signals/cf42b47d-e7a3-4b4c-8aaa-b57bbbf70d67","source_url":"https://github.com/cohere-ai/mcp-atlassian","title":"cohere-ai/mcp-atlassian","context":"forked from sooperset/mcp-atlassian","kind":{"key":"repo_forked","label":"Fork"},"org":{"slug":"cohere","name":"Cohere","category":"frontier-lab"},"occurred_at":"2025-11-18T20:26:30+00:00","first_seen_at":"2026-06-05T05:43:00.174979+00:00","date_source":"source"},{"id":"7311dd9a-ef5a-4f44-8432-56be787852aa","url":"https://onlylabs.fyi/signals/7311dd9a-ef5a-4f44-8432-56be787852aa","source_url":"https://github.com/cohere-ai/vcrpy","title":"cohere-ai/vcrpy","context":"forked from tanzimCohere/vcrpy","kind":{"key":"repo_forked","label":"Fork"},"org":{"slug":"cohere","name":"Cohere","category":"frontier-lab"},"occurred_at":"2025-11-12T16:35:28+00:00","first_seen_at":"2026-06-05T05:43:00.174979+00:00","date_source":"source"},{"id":"6834ade1-d24e-4f7e-83a5-84b622544142","url":"https://onlylabs.fyi/signals/6834ade1-d24e-4f7e-83a5-84b622544142","source_url":"https://github.com/cohere-ai/llama.cpp","title":"cohere-ai/llama.cpp","context":"forked from ggml-org/llama.cpp","kind":{"key":"repo_forked","label":"Fork"},"org":{"slug":"cohere","name":"Cohere","category":"frontier-lab"},"occurred_at":"2025-08-20T21:32:58+00:00","first_seen_at":"2026-06-05T05:43:00.174979+00:00","date_source":"source"}]}