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# 512-Dimensional Vector
Congen BERT Small
Apache-2.0
This is a small BERT model based on the ConGen framework, designed to map sentences into a 512-dimensional vector space, suitable for tasks like semantic search.
Text Embedding
Transformers
TransformersC
kornwtp
13
0
Ml Use 512 MNR 15
This is a sentence embedding model based on sentence-transformers, which maps text to a 512-dimensional vector space, suitable for semantic search and text similarity calculation.
Text Embedding
M
ronanki
33
0
Ml Use 13
A sentence embedding model based on sentence-transformers, which maps text to a 512-dimensional vector space, suitable for semantic search and clustering tasks.
Text Embedding
M
ronanki
25
0
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