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intfloat/e5-large-v2
Sentence Similarity • 0.3B • Updated • 870k • • 259 -
intfloat/multilingual-e5-large-instruct
Feature Extraction • 0.6B • Updated • 1.97M • • 549 -
intfloat/e5-base-v2
Sentence Similarity • 0.1B • Updated • 736k • • 134 -
intfloat/e5-small-v2
Sentence Similarity • 0.0B • Updated • 328k • • 99
AI & ML interests
None defined yet.
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aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 8 -
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 • 34
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KShivendu/dbpedia-entities-openai-1M
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KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 32 • 2 -
wikimedia/wit_base
Viewer • Updated • 108k • 2k • 65 -
aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 8
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 • 806 • 24 -
wikimedia/wit_base
Viewer • Updated • 108k • 2k • 65 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 32 • 2 -
Qdrant/arxiv-titles-instructorxl-embeddings
Viewer • Updated • 2.25M • 146 • 4
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intfloat/e5-large-v2
Sentence Similarity • 0.3B • Updated • 870k • • 259 -
intfloat/multilingual-e5-large-instruct
Feature Extraction • 0.6B • Updated • 1.97M • • 549 -
intfloat/e5-base-v2
Sentence Similarity • 0.1B • Updated • 736k • • 134 -
intfloat/e5-small-v2
Sentence Similarity • 0.0B • Updated • 328k • • 99
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KShivendu/dbpedia-entities-openai-1M
Viewer • Updated • 1M • 806 • 24 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 32 • 2 -
wikimedia/wit_base
Viewer • Updated • 108k • 2k • 65 -
aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 8
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aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 8 -
aintech/vdf_20240125_130746_ac5a6_medium_articles
Viewer • Updated • 5.98k • 1 -
aintech/vdf_20240129_162001_59275_arxiv_titles
Viewer • Updated • 2.25M • 10 -
aintech/vdf_20240130_114906_3faa2_arxiv_abstracts
Viewer • Updated • 2.25M • 34
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 • 806 • 24 -
wikimedia/wit_base
Viewer • Updated • 108k • 2k • 65 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 32 • 2 -
Qdrant/arxiv-titles-instructorxl-embeddings
Viewer • Updated • 2.25M • 146 • 4