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512-dimensional Vector

# 512-dimensional Vector

Distiluse Base Multilingual Cased V2 Eclass

This is a model based on sentence-transformers that maps sentences and paragraphs into a 512-dimensional dense vector space, suitable for tasks such as clustering and semantic search.

Model Distiluse Base Multilingual Cased V1 5 Epochs

This is a model based on sentence-transformers that maps sentences and paragraphs into a 512-dimensional vector space, suitable for tasks such as sentence similarity calculation and semantic search.

Model Distiluse Base Multilingual Cased V1 100 Epochs

This is a model based on sentence-transformers that maps sentences and paragraphs into a 512-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

Model Distiluse Base Multilingual Cased V1 1 Epochs

This is a model based on sentence-transformers that maps sentences and paragraphs into a 512-dimensional dense vector space, suitable for tasks such as clustering and semantic search.

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