{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Model: amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","description":"Amazon (Nova) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/483f1618-4289-4cdb-ba79-fc7f74009659","json_url":"https://onlylabs.fyi/signals/483f1618-4289-4cdb-ba79-fc7f74009659/signal.json","generated_at":"2026-06-11T03:27:53.312136+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/483f1618-4289-4cdb-ba79-fc7f74009659","signal_json":"https://onlylabs.fyi/signals/483f1618-4289-4cdb-ba79-fc7f74009659/signal.json","source":"https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/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/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2. 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High-signal details: license apache-2.0 · 8 HF downloads. onlylabs links this event to 1 captured evidence page and 6 related model signals.","signal_desk":"releases","source_context":{"source_url":"https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","source_host":"huggingface.co","occurred_at":"2023-08-24T09:16:38+00:00","first_seen_at":"2026-06-06T01:49:28.820608+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"Amazon (Nova)","source":"signal"},{"label":"Signal desk","value":"releases","source":"signal"},{"label":"Source host","value":"huggingface.co","source":"source"},{"label":"Task","value":"text-classification","source":"model"},{"label":"License","value":"apache-2.0","source":"model"},{"label":"Library","value":"sentence-transformers","source":"model"},{"label":"Downloads","value":"8","source":"traction"},{"label":"Likes","value":"3","source":"traction"},{"label":"Watch 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the hard edge of lab execution and help connect data-business opportunities to concrete model, repo, and deployment changes.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/483f1618-4289-4cdb-ba79-fc7f74009659/signal.json","required":true},{"label":"source","url":"https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/amazon/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/amazon/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Amazon (Nova)'s model signal \"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2\" for frontier lab strategy."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published model","object":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","text":"Amazon (Nova) published model amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"is classified as","object":"model signal","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 is classified as model signal."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"belongs to","object":"releases 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huggingface.co."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"has task","object":"text-classification","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 has task text-classification."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"has license","object":"apache-2.0","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 has license apache-2.0."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"has library","object":"sentence-transformers","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 has library sentence-transformers."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"has downloads","object":"8","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 has downloads 8."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"has likes","object":"3","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 has likes 3."}]},"intelligence":{"signal_desk":"releases","answer":"Amazon (Nova) published amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2. 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High-signal details: license apache-2.0 · 8 HF downloads. onlylabs links this event to 1 captured evidence page and 6 related model signals.","semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published model","object":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","text":"Amazon (Nova) published model amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"is classified as","object":"model signal","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 is classified as model signal."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"belongs to","object":"releases desk","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 belongs to releases desk."},{"subject":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 has evidence coverage 1 captured evidence page."}]},"signal":{"id":"483f1618-4289-4cdb-ba79-fc7f74009659","url":"https://onlylabs.fyi/signals/483f1618-4289-4cdb-ba79-fc7f74009659","json_url":"https://onlylabs.fyi/signals/483f1618-4289-4cdb-ba79-fc7f74009659/signal.json","source_url":"https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","title":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2","summary":"Amazon (Nova) published a model signal. onlylabs watches model cards, launch context, and traction.","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2023-08-24T09:16:38+00:00","first_seen_at":"2026-06-06T01:49:28.820608+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2/raw/main/README.md"]},"facets":{"pipeline_tag":"text-classification","license":"apache-2.0"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":8,"hf_likes":3},"data_radar":null},"primary_evidence_page":{"url":"https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2/raw/main/README.md","final_url":"https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2/raw/main/README.md","title":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T03:27:53.312136+00:00","bytes":1662,"raw_path":"fbbb81e19fb56dad6a01a1fd4eb24c0d71b991f51b15abdd3e7a85ff41e4366f.md","content_hash":"6fee5a73ed623745a15754624f1ee2336f282b0b82c35b2630376991b5366d0b","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves: 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning. 2. Training a classification head with features from the fine-tuned Sentence Transformer. Usage To use this model for inference, first install the SetFit library: ```bash python -m pip install setfit ``` You can then run inference as follows: ```python from setfit import SetFitModel Download from Hub and run inference model = SetFitModel.from_pretrained(\"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2\") Run inference preds = model([\"i loved the spiderman movie!\", \"pineapple on pizza is the worst 🤮\"]) ``` BibTeX entry and citation info ```bibtex @article{https://doi.org/10.48550/arxiv.2209.11055, doi = {10.48550/ARXIV.2209.11055}, url =..."},"evidence_pages":[{"url":"https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2/raw/main/README.md","final_url":"https://huggingface.co/amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2/raw/main/README.md","title":"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T03:27:53.312136+00:00","bytes":1662,"raw_path":"fbbb81e19fb56dad6a01a1fd4eb24c0d71b991f51b15abdd3e7a85ff41e4366f.md","content_hash":"6fee5a73ed623745a15754624f1ee2336f282b0b82c35b2630376991b5366d0b","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves: 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning. 2. Training a classification head with features from the fine-tuned Sentence Transformer. Usage To use this model for inference, first install the SetFit library: ```bash python -m pip install setfit ``` You can then run inference as follows: ```python from setfit import SetFitModel Download from Hub and run inference model = SetFitModel.from_pretrained(\"amazon/sm-hackathon-actionability-9-multi-outputs-setfit-all-distilroberta-model-v0.2\") Run inference preds = model([\"i loved the spiderman movie!\", \"pineapple on pizza is the worst 🤮\"]) ``` BibTeX entry and citation info ```bibtex @article{https://doi.org/10.48550/arxiv.2209.11055, doi = {10.48550/ARXIV.2209.11055}, url =..."}],"related_signals":[{"id":"774e55d2-87c5-4b3e-91d9-79271c21322b","url":"https://onlylabs.fyi/signals/774e55d2-87c5-4b3e-91d9-79271c21322b","source_url":"https://huggingface.co/amazon/Qwen3-Coder-30B-A3B-Instruct-P-EAGLE-long-context","title":"amazon/Qwen3-Coder-30B-A3B-Instruct-P-EAGLE-long-context","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-14T23:50:24+00:00","first_seen_at":"2026-06-06T01:49:28.820608+00:00","date_source":"source"},{"id":"65dd73c3-f938-468a-9777-d0d3fbbcbc23","url":"https://onlylabs.fyi/signals/65dd73c3-f938-468a-9777-d0d3fbbcbc23","source_url":"https://huggingface.co/amazon/gpt-oss-20b-p-eagle-long-context","title":"amazon/gpt-oss-20b-p-eagle-long-context","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-14T23:11:10+00:00","first_seen_at":"2026-06-06T01:49:28.820608+00:00","date_source":"source"},{"id":"c255adba-13d0-4522-a0af-63d9665b4c93","url":"https://onlylabs.fyi/signals/c255adba-13d0-4522-a0af-63d9665b4c93","source_url":"https://huggingface.co/amazon/gpt-oss-120b-p-eagle-long-context","title":"amazon/gpt-oss-120b-p-eagle-long-context","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-14T17:52:34+00:00","first_seen_at":"2026-06-06T01:49:28.820608+00:00","date_source":"source"},{"id":"349c8649-b8fc-4b89-85ca-a8bed8bb979e","url":"https://onlylabs.fyi/signals/349c8649-b8fc-4b89-85ca-a8bed8bb979e","source_url":"https://huggingface.co/amazon/GDN-primed-HQwen3-32B-Instruct","title":"amazon/GDN-primed-HQwen3-32B-Instruct","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-03-31T17:55:09+00:00","first_seen_at":"2026-06-06T01:49:28.820608+00:00","date_source":"source"},{"id":"7ba3f73b-c564-42f5-8c88-db38a44cdf91","url":"https://onlylabs.fyi/signals/7ba3f73b-c564-42f5-8c88-db38a44cdf91","source_url":"https://huggingface.co/amazon/Mamba2-primed-HQwen3-8B-Instruct","title":"amazon/Mamba2-primed-HQwen3-8B-Instruct","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-03-31T17:51:01+00:00","first_seen_at":"2026-06-06T01:49:28.820608+00:00","date_source":"source"},{"id":"4afc0b8c-2d15-4535-a6ec-9c24a5426a6d","url":"https://onlylabs.fyi/signals/4afc0b8c-2d15-4535-a6ec-9c24a5426a6d","source_url":"https://huggingface.co/amazon/GKA-primed-HQwen3-8B-Instruct","title":"amazon/GKA-primed-HQwen3-8B-Instruct","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-03-31T17:49:35+00:00","first_seen_at":"2026-06-06T01:49:28.820608+00:00","date_source":"source"}]}