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# 1024-dimensional vector
Sbert Large Mt Ru Retriever
MIT
This model maps sentences and paragraphs into a 1024-dimensional vector space, suitable for tasks such as sentence similarity calculation, clustering, and semantic search.
Text Embedding
Transformers Other
Transformers OtherS
Den4ikAI
139
2
Gbert Large Paraphrase Euclidean
MIT
German sentence embedding model based on sentence-transformers, mapping text to a 1024-dimensional vector space, optimized for few-shot classification
Text Embedding Transformers German
Transformers GermanG
deutsche-telekom
19.03k
11
Bert Large Portuguese Cased Legal Mlm Nli Sts V1
MIT
A Portuguese BERT model specialized for the legal domain based on the BERTimbau large model, supporting sentence similarity calculation and semantic search
Text Embedding Transformers Other
Transformers OtherB
stjiris
331
5
Bert Large Portuguese Cased Legal Tsdae Sts V0
MIT
A Portuguese BERT model specialized for the legal domain, developed based on the BERTimbau large model, supporting sentence similarity calculation and semantic search tasks
Text Embedding Transformers Other
Transformers OtherB
stjiris
26
1
Bert Large Portuguese Cased Legal Mlm Sts V1.0
A legal domain-specific Portuguese sentence transformation model developed based on the BERTimbau large model, supporting sentence similarity calculation
Text Embedding Transformers Other
Transformers OtherB
stjiris
880
2
Legal BERTimbau Base TSDAE Sts
This is a Portuguese legal domain sentence transformation model based on BERTimbau, specifically designed for sentence similarity tasks.
Text Embedding Transformers Other
Transformers OtherL
rufimelo
13
1
Legal BERTimbau Sts Large Ma V3
Portuguese legal domain sentence similarity model based on BERTimbau large model, supporting 1024-dimensional vector representation
Text Embedding Transformers Other
Transformers OtherL
rufimelo
407
3
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