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256-dimensional Vector

# 256-dimensional Vector

DISASTER MODEL PRECHATS

This is a model based on sentence-transformers that maps sentences and paragraphs into a 256-dimensional vector space for tasks such as sentence similarity calculation and semantic search.

Dfm Sentence Encoder Small V1

This is a sentence encoder model based on sentence-transformers, capable of mapping sentences and paragraphs into a 256-dimensional dense vector space, suitable for tasks such as sentence similarity calculation, clustering, and semantic search.

Model Dccuchile Bert Base Spanish Wwm Uncased 100 Epochs

This is a model based on sentence-transformers that maps sentences and paragraphs into a 256-dimensional vector space for tasks such as clustering or semantic search.

Model Bert Base Multilingual Uncased 10 Epochs

This is a sentence embedding model based on sentence-transformers, which can map text to a 256-dimensional vector space and is suitable for semantic search and clustering tasks.

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