Thenlper: GTE-Base
thenlper/gte-base · text->embeddings · 0k ctx · added 2025-11-18
$0.0049·0.0000 /M effective
hit 0%
22.2M/d
The gte-base embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, delivering efficient and effective semantic embeddings optimized for textual similarity, semantic search, and clustering applications.
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22.2M/d
0%
$0.0049·0.0000
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11mo
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429
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