[
{ "name":"sentence-transformers/all-MiniLM-L6-v2",
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"orig_author":"Ubiquitous Knowledge Processing Lab",
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"task":"Over 3.8 million downloads from Huggingface",
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},
"paper_url":"https://arxiv.org/abs/1908.10084",
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{ "name":"sentence-transformers/paraphrase-MiniLM-L6-v2",
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"orig_author_url":"https://github.com/UKPLab",
"orig_author":"Ubiquitous Knowledge Processing Lab",
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"task":"Over 2 million downloads from Huggingface",
"sota_link":"https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2"
},
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{ "name":"sentence-transformers/bert-base-nli-mean-tokens",
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"orig_author":"Ubiquitous Knowledge Processing Lab",
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"task":"Over 700,000 downloads from Huggingface",
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},
"paper_url":"https://arxiv.org/abs/1908.10084",
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{ "name":"sentence-transformers/all-mpnet-base-v2",
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"orig_author_url":"https://github.com/UKPLab",
"orig_author":"Ubiquitous Knowledge Processing Lab",
"sota_info": {
"task":"Over 500,000 downloads from Huggingface",
"sota_link":"https://huggingface.co/sentence-transformers/all-mpnet-base-v2"
},
"paper_url":"https://arxiv.org/abs/1908.10084",
"mark":"True",
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{ "name":"sentence-transformers/all-MiniLM-L12-v2",
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"orig_author_url":"https://github.com/UKPLab",
"orig_author":"Ubiquitous Knowledge Processing Lab",
"sota_info": {
"task":"Over 500,000 downloads from Huggingface",
"sota_link":"https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2"
},
"paper_url":"https://arxiv.org/abs/1908.10084",
"mark":"True",
"class":"HFModel"},
{ "name":"SGPT-125M",
"model":"Muennighoff/SGPT-125M-weightedmean-nli-bitfit",
"fork_url":"https://github.com/taskswithcode/sgpt",
"orig_author_url":"https://github.com/Muennighoff",
"orig_author":"Niklas Muennighoff",
"sota_info": {
"task":"#1 in multiple information retrieval & search tasks(smaller variant)",
"sota_link":"https://paperswithcode.com/paper/sgpt-gpt-sentence-embeddings-for-semantic"
},
"paper_url":"https://arxiv.org/abs/2202.08904v5",
"mark":"True",
"class":"SGPTModel"},
{ "name":"SIMCSE-base" ,
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"fork_url":"https://github.com/taskswithcode/SimCSE",
"orig_author_url":"https://github.com/princeton-nlp",
"orig_author":"Princeton Natural Language Processing",
"sota_info": {
"task":"Within top 10 in multiple semantic textual similarity tasks(smaller variant)",
"sota_link":"https://paperswithcode.com/paper/simcse-simple-contrastive-learning-of"
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"paper_url":"https://arxiv.org/abs/2104.08821v4",
"mark":"True",
"class":"SimCSEModel","sota_link":"https://paperswithcode.com/sota/semantic-textual-similarity-on-sick"},
{ "name":"GPT-3-175B (text-similarity-davinci-001)" ,
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"fork_url":"https://openai.com/api/",
"orig_author_url":"https://openai.com/api/",
"orig_author":"OpenAI",
"sota_info": {
"task":"GPT-3 achieves strong zero-shot and few-shot performance on many NLP datasets etc.",
"sota_link":"https://paperswithcode.com/method/gpt-3"
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"paper_url":"https://arxiv.org/abs/2005.14165v4",
"mark":"True",
"custom_load":"False",
"Note":"Custom file upload requires OpenAI API access to create embeddings. For API access, use this link ",
"alt_url":"https://openai.com/api/",
"class":"OpenAIModel","sota_link":"https://arxiv.org/abs/2005.14165v4"},
{ "name":"GPT-3-6.7B (text-similarity-curie-001)" ,
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"fork_url":"https://openai.com/api/",
"orig_author_url":"https://openai.com/api/",
"orig_author":"OpenAI",
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"task":"GPT-3 achieves strong zero-shot and few-shot performance on many NLP datasets etc.",
"sota_link":"https://paperswithcode.com/method/gpt-3"
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"paper_url":"https://arxiv.org/abs/2005.14165v4",
"mark":"True",
"custom_load":"False",
"Note":"Custom file upload requires OpenAI API access to create embeddings. For API access, use this link ",
"alt_url":"https://openai.com/api/",
"class":"OpenAIModel","sota_link":"https://arxiv.org/abs/2005.14165v4"},
{ "name":"GPT-3-1.3B (text-similarity-babbage-001)" ,
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"fork_url":"https://openai.com/api/",
"orig_author_url":"https://openai.com/api/",
"orig_author":"OpenAI",
"sota_info": {
"task":"GPT-3 achieves strong zero-shot and few-shot performance on many NLP datasets etc.",
"sota_link":"https://paperswithcode.com/method/gpt-3"
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"paper_url":"https://arxiv.org/abs/2005.14165v4",
"mark":"True",
"custom_load":"False",
"Note":"Custom file upload requires OpenAI API access to create embeddings. For API access, use this link ",
"alt_url":"https://openai.com/api/",
"class":"OpenAIModel","sota_link":"https://arxiv.org/abs/2005.14165v4"},
{ "name":"GPT-3-350M (text-similarity-ada-001)" ,
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"fork_url":"https://openai.com/api/",
"orig_author_url":"https://openai.com/api/",
"orig_author":"OpenAI",
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"task":"GPT-3 achieves strong zero-shot and few-shot performance on many NLP datasets etc.",
"sota_link":"https://paperswithcode.com/method/gpt-3"
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"paper_url":"https://arxiv.org/abs/2005.14165v4",
"mark":"True",
"custom_load":"False",
"Note":"Custom file upload requires OpenAI API access to create embeddings. For API access, use this link ",
"alt_url":"https://openai.com/api/",
"class":"OpenAIModel","sota_link":"https://arxiv.org/abs/2005.14165v4"}
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