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512-dimensional vector embedding
# 512-dimensional vector embedding
Ml Use 512 MNR 10
This is a sentence embedding model based on sentence-transformers, capable of mapping text to a 512-dimensional vector space, suitable for semantic search and text similarity calculation.
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M
ronanki
32
0
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