512-dimensional sentence vectors
According to the model card, the model maps sentences and paragraphs to a 512-dimensional dense vector space.
Open Source Model Profile · sentence-transformers
distiluse-base-multilingual-cased-v1
distiluse-base-multilingual-cased-v1 is a DistilBERT-family sentence-similarity model from sentence-transformers. According to the model card, it maps sentences and paragraphs to a 512-dimensional dense vector space.
- Publisher
- sentence-transformers
- Task
- sentence-similarity
- Model type
- distilbert
- License
- apache-2.0
- Library
- sentence-transformers
- Publication status
- Approved for indexing
Model overview
distiluse-base-multilingual-cased-v1 is published by sentence-transformers as a sentence-similarity model. The captured configuration identifies DistilBertModel with model type distilbert, and Safetensors metadata reports 134,734,080 parameters. According to the model card, it is intended for clustering and semantic search.
Recorded capabilities
Documented Transformer plus pooling stack
According to the model card, the stack uses a DistilBertModel Transformer with max sequence length 128, mean pooling, and a 768-to-512 dense layer.
Sentence-Transformers usage
According to the model card, the model is loaded with SentenceTransformer and encoded with model.encode after installing sentence-transformers.
Use cases in the source record
- Multilingual sentence and paragraph embedding for semantic search and clustering, as documented in the model card.
- Sentence-Transformers encoding workflows using the documented SentenceTransformer interface and 512-dimensional output.
Limitations and unknowns
- No evaluation results were extracted from this record.
- No context-window value beyond the card-reported 128 maximum sequence length was extracted as structured data.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: sentence-transformers/distiluse-base-multilingual-cased-v1
Captured: Unknown. Processed: 2026-09-07T19:34:57.702633+00:00.
sentence-transformers/distiluse-base-multilingual-cased-v1 This is a sentence-transformers model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search. Usage (Sentence-Transformers) Using this model becomes easy when you have sentence-transformers installed: pip install -U sentence-transformers Then you can use the model like this: from sentence_transformers import SentenceTransformer sentences = [ "This is an example sentence" , "Each sentence is converted" ] model = SentenceTransformer( 'sentence-transformers/distiluse-base-multilingual-cased-v1' ) embe…
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