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taskswithcode/semantic_clustering

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clus_app_models.json151 linesDownload Raw Back to root
1[2 3            {   "name":"sentence-transformers/all-MiniLM-L6-v2", 4                "model":"sentence-transformers/all-MiniLM-L6-v2",5                "fork_url":"https://github.com/taskswithcode/sentence_similarity_hf_model",6                "orig_author_url":"https://github.com/UKPLab",7                "orig_author":"Ubiquitous Knowledge Processing Lab",8                "sota_info": {   9                                 "task":"Over 3.8  million downloads from Huggingface",10                                 "sota_link":"https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2"11                            },12                "paper_url":"https://arxiv.org/abs/1908.10084",13                "mark":"True",14                "class":"HFModel"},15            {   "name":"sentence-transformers/paraphrase-MiniLM-L6-v2", 16                "model":"sentence-transformers/paraphrase-MiniLM-L6-v2",17                "fork_url":"https://github.com/taskswithcode/sentence_similarity_hf_model",18                "orig_author_url":"https://github.com/UKPLab",19                "orig_author":"Ubiquitous Knowledge Processing Lab",20                "sota_info": {   21                                 "task":"Over 2 million downloads from Huggingface",22                                 "sota_link":"https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2"23                            },24                "paper_url":"https://arxiv.org/abs/1908.10084",25                "mark":"True",26                "class":"HFModel"},27            {   "name":"sentence-transformers/bert-base-nli-mean-tokens", 28                "model":"sentence-transformers/bert-base-nli-mean-tokens",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 700,000 downloads from Huggingface",34                                 "sota_link":"https://huggingface.co/sentence-transformers/bert-base-nli-mean-tokens"35                            },36                "paper_url":"https://arxiv.org/abs/1908.10084",37                "mark":"True",38                "class":"HFModel"},39            {   "name":"sentence-transformers/all-mpnet-base-v2", 40                "model":"sentence-transformers/all-mpnet-base-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 500,000 downloads from Huggingface",46                                 "sota_link":"https://huggingface.co/sentence-transformers/all-mpnet-base-v2"47                            },48                "paper_url":"https://arxiv.org/abs/1908.10084",49                "mark":"True",50                "class":"HFModel"},51            {   "name":"sentence-transformers/all-MiniLM-L12-v2",52                "model":"sentence-transformers/all-MiniLM-L12-v2",53                "fork_url":"https://github.com/taskswithcode/sentence_similarity_hf_model",54                "orig_author_url":"https://github.com/UKPLab",55                "orig_author":"Ubiquitous Knowledge Processing Lab",56                "sota_info": {   57                                 "task":"Over 500,000 downloads from Huggingface",58                                 "sota_link":"https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2"59                            },60                "paper_url":"https://arxiv.org/abs/1908.10084",61                "mark":"True",62                "class":"HFModel"},63 64            {   "name":"SGPT-125M", 65                "model":"Muennighoff/SGPT-125M-weightedmean-nli-bitfit",66                "fork_url":"https://github.com/taskswithcode/sgpt",67                "orig_author_url":"https://github.com/Muennighoff",68                "orig_author":"Niklas Muennighoff",69                "sota_info": {   70                                 "task":"#1 in multiple information retrieval & search tasks(smaller variant)",71                                 "sota_link":"https://paperswithcode.com/paper/sgpt-gpt-sentence-embeddings-for-semantic"72                            },73                "paper_url":"https://arxiv.org/abs/2202.08904v5",74                "mark":"True",75                "class":"SGPTModel"},76            {  "name":"SIMCSE-base" ,77                "model":"princeton-nlp/sup-simcse-roberta-base",78                "fork_url":"https://github.com/taskswithcode/SimCSE",79                "orig_author_url":"https://github.com/princeton-nlp",80                "orig_author":"Princeton Natural Language Processing",81                "sota_info": {   82                                 "task":"Within top 10 in multiple semantic textual similarity tasks(smaller variant)",83                                 "sota_link":"https://paperswithcode.com/paper/simcse-simple-contrastive-learning-of"84                            },85                "paper_url":"https://arxiv.org/abs/2104.08821v4",86                "mark":"True",87                "class":"SimCSEModel","sota_link":"https://paperswithcode.com/sota/semantic-textual-similarity-on-sick"},88            {  "name":"GPT-3-175B (text-similarity-davinci-001)" ,89                "model":"text-similarity-davinci-001",90                "fork_url":"https://openai.com/api/",91                "orig_author_url":"https://openai.com/api/",92                "orig_author":"OpenAI",93                "sota_info": {   94                                 "task":"GPT-3 achieves strong zero-shot and few-shot performance on many NLP datasets etc.",95                                 "sota_link":"https://paperswithcode.com/method/gpt-3"96                            },97                "paper_url":"https://arxiv.org/abs/2005.14165v4",98                "mark":"True",99                "custom_load":"False",100                "Note":"Custom file upload requires OpenAI API access to create embeddings. For API access, use this link ",101                "alt_url":"https://openai.com/api/",102                "class":"OpenAIModel","sota_link":"https://arxiv.org/abs/2005.14165v4"},103            {  "name":"GPT-3-6.7B (text-similarity-curie-001)" ,104                "model":"text-similarity-curie-001",105                "fork_url":"https://openai.com/api/",106                "orig_author_url":"https://openai.com/api/",107                "orig_author":"OpenAI",108                "sota_info": {   109                                 "task":"GPT-3 achieves strong zero-shot and few-shot performance on many NLP datasets etc.",110                                 "sota_link":"https://paperswithcode.com/method/gpt-3"111                            },112                "paper_url":"https://arxiv.org/abs/2005.14165v4",113                "mark":"True",114                "custom_load":"False",115                "Note":"Custom file upload requires OpenAI API access to create embeddings. For API access, use this link ",116                "alt_url":"https://openai.com/api/",117                "class":"OpenAIModel","sota_link":"https://arxiv.org/abs/2005.14165v4"},118            {  "name":"GPT-3-1.3B (text-similarity-babbage-001)" ,119                "model":"text-similarity-babbage-001",120                "fork_url":"https://openai.com/api/",121                "orig_author_url":"https://openai.com/api/",122                "orig_author":"OpenAI",123                "sota_info": {   124                                 "task":"GPT-3 achieves strong zero-shot and few-shot performance on many NLP datasets etc.",125                                 "sota_link":"https://paperswithcode.com/method/gpt-3"126                            },127                "paper_url":"https://arxiv.org/abs/2005.14165v4",128                "mark":"True",129                "custom_load":"False",130                "Note":"Custom file upload requires OpenAI API access to create embeddings. For API access, use this link ",131                "alt_url":"https://openai.com/api/",132                "class":"OpenAIModel","sota_link":"https://arxiv.org/abs/2005.14165v4"},133            {  "name":"GPT-3-350M (text-similarity-ada-001)" ,134                "model":"text-similarity-ada-001",135                "fork_url":"https://openai.com/api/",136                "orig_author_url":"https://openai.com/api/",137                "orig_author":"OpenAI",138                "sota_info": {   139                                 "task":"GPT-3 achieves strong zero-shot and few-shot performance on many NLP datasets etc.",140                                 "sota_link":"https://paperswithcode.com/method/gpt-3"141                            },142                "paper_url":"https://arxiv.org/abs/2005.14165v4",143                "mark":"True",144                "custom_load":"False",145                "Note":"Custom file upload requires OpenAI API access to create embeddings. For API access, use this link ",146                "alt_url":"https://openai.com/api/",147                "class":"OpenAIModel","sota_link":"https://arxiv.org/abs/2005.14165v4"}148 149 150            ]151