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intfloat/e5-large-v2
Sentence Similarity • 0.3B • Updated • 1.11M • • 284 -
intfloat/multilingual-e5-large-instruct
Feature Extraction • 0.6B • Updated • 1.53M • • 644 -
intfloat/e5-base-v2
Sentence Similarity • 0.1B • Updated • 821k • • 157 -
intfloat/e5-small-v2
Sentence Similarity • 33.4M • Updated • 829k • • 126
AI & ML interests
None defined yet.
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aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 162 -
aintech/vdf_20240125_130746_ac5a6_medium_articles
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aintech/vdf_20240129_162001_59275_arxiv_titles
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aintech/vdf_20240130_114906_3faa2_arxiv_abstracts
Viewer • Updated • 2.25M • 65
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KShivendu/dbpedia-entities-openai-1M
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KShivendu/wikipedia-1k-cohere-openai-embeddings
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wikimedia/wit_base
Viewer • Updated • 108k • 10.6k • 75 -
aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 162
These datasets can be loaded into your vector database with a single line bash command
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KShivendu/dbpedia-entities-openai-1M
Viewer • Updated • 1M • 3.05k • 26 -
wikimedia/wit_base
Viewer • Updated • 108k • 10.6k • 75 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
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Qdrant/arxiv-titles-instructorxl-embeddings
Viewer • Updated • 2.25M • 1.63k • 5
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intfloat/e5-large-v2
Sentence Similarity • 0.3B • Updated • 1.11M • • 284 -
intfloat/multilingual-e5-large-instruct
Feature Extraction • 0.6B • Updated • 1.53M • • 644 -
intfloat/e5-base-v2
Sentence Similarity • 0.1B • Updated • 821k • • 157 -
intfloat/e5-small-v2
Sentence Similarity • 33.4M • Updated • 829k • • 126
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KShivendu/dbpedia-entities-openai-1M
Viewer • Updated • 1M • 3.05k • 26 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 142 • 2 -
wikimedia/wit_base
Viewer • Updated • 108k • 10.6k • 75 -
aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 162
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aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 162 -
aintech/vdf_20240125_130746_ac5a6_medium_articles
Viewer • Updated • 5.98k • 14 -
aintech/vdf_20240129_162001_59275_arxiv_titles
Viewer • Updated • 2.25M • 34 -
aintech/vdf_20240130_114906_3faa2_arxiv_abstracts
Viewer • Updated • 2.25M • 65
These datasets can be loaded into your vector database with a single line bash command
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KShivendu/dbpedia-entities-openai-1M
Viewer • Updated • 1M • 3.05k • 26 -
wikimedia/wit_base
Viewer • Updated • 108k • 10.6k • 75 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 142 • 2 -
Qdrant/arxiv-titles-instructorxl-embeddings
Viewer • Updated • 2.25M • 1.63k • 5