taskswithcode/semantic_search
2
1[2 { "name":"SGPT-125M-Search", 3 "model":"Muennighoff/SGPT-125M-weightedmean-msmarco-specb-bitfit",4 "fork_url":"https://github.com/taskswithcode/sgpt",5 "orig_author_url":"https://github.com/Muennighoff",6 "orig_author":"Niklas Muennighoff",7 "sota_info": { 8 "task":"#1 in multiple information retrieval & search tasks(smaller variant)",9 "sota_link":"https://paperswithcode.com/paper/sgpt-gpt-sentence-embeddings-for-semantic"10 },11 "paper_url":"https://arxiv.org/abs/2202.08904v5",12 "mark":"True",13 "class":"SGPTQnAModel"},14 { "name":"GPT-Neo-125M", 15 "model":"EleutherAI/gpt-neo-125M",16 "fork_url":"https://github.com/taskswithcode/sgpt",17 "orig_author_url":"https://www.eleuther.ai/",18 "orig_author":"EleuthorAI",19 "sota_info": { 20 "task":"Top 20 in multiple NLP tasks (smaller variant)",21 "sota_link":"https://paperswithcode.com/paper/gpt-neox-20b-an-open-source-autoregressive-1"22 },23 "paper_url":"https://zenodo.org/record/5551208#.YyV0k-zMLX0",24 "mark":"True",25 "class":"CausalLMModel"},26 27 { "name":"sentence-transformers/all-MiniLM-L6-v2", 28 "model":"sentence-transformers/all-MiniLM-L6-v2",29 "fork_url":"https://github.com/taskswithcode/sentence_similarity_hf_model",30 "orig_author_url":"https://github.com/UKPLab",31 "orig_author":"Ubiquitous Knowledge Processing Lab",32 "sota_info": { 33 "task":"Over 3.8 million downloads from Huggingface",34 "sota_link":"https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2"35 },36 "paper_url":"https://arxiv.org/abs/1908.10084",37 "mark":"True",38 "class":"HFModel"},39 { "name":"sentence-transformers/paraphrase-MiniLM-L6-v2", 40 "model":"sentence-transformers/paraphrase-MiniLM-L6-v2",41 "fork_url":"https://github.com/taskswithcode/sentence_similarity_hf_model",42 "orig_author_url":"https://github.com/UKPLab",43 "orig_author":"Ubiquitous Knowledge Processing Lab",44 "sota_info": { 45 "task":"Over 2 million downloads from Huggingface",46 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Knowledge Processing Lab",68 "sota_info": { 69 "task":"Over 500,000 downloads from Huggingface",70 "sota_link":"https://huggingface.co/sentence-transformers/all-mpnet-base-v2"71 },72 "paper_url":"https://arxiv.org/abs/1908.10084",73 "mark":"True",74 "class":"HFModel"},75 { "name":"sentence-transformers/all-MiniLM-L12-v2",76 "model":"sentence-transformers/all-MiniLM-L12-v2",77 "fork_url":"https://github.com/taskswithcode/sentence_similarity_hf_model",78 "orig_author_url":"https://github.com/UKPLab",79 "orig_author":"Ubiquitous Knowledge Processing Lab",80 "sota_info": { 81 "task":"Over 500,000 downloads from Huggingface",82 "sota_link":"https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2"83 },84 "paper_url":"https://arxiv.org/abs/1908.10084",85 "mark":"True",86 "class":"HFModel"},87 88 { "name":"SGPT-125M", 89 "model":"Muennighoff/SGPT-125M-weightedmean-nli-bitfit",90 "fork_url":"https://github.com/taskswithcode/sgpt",91 "orig_author_url":"https://github.com/Muennighoff",92 "orig_author":"Niklas Muennighoff",93 "sota_info": { 94 "task":"#1 in multiple information retrieval & search tasks(smaller variant)",95 "sota_link":"https://paperswithcode.com/paper/sgpt-gpt-sentence-embeddings-for-semantic"96 },97 "paper_url":"https://arxiv.org/abs/2202.08904v5",98 "mark":"True",99 "class":"SGPTModel"},100 { "name":"SIMCSE-base" ,101 "model":"princeton-nlp/sup-simcse-roberta-base",102 "fork_url":"https://github.com/taskswithcode/SimCSE",103 "orig_author_url":"https://github.com/princeton-nlp",104 "orig_author":"Princeton Natural Language Processing",105 "sota_info": { 106 "task":"Within top 10 in multiple semantic textual similarity tasks(smaller variant)",107 "sota_link":"https://paperswithcode.com/paper/simcse-simple-contrastive-learning-of"108 },109 "paper_url":"https://arxiv.org/abs/2104.08821v4",110 "mark":"True",111 "class":"SimCSEModel","sota_link":"https://paperswithcode.com/sota/semantic-textual-similarity-on-sick"},112 { "name":"GPT-3-175B 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