Seznam
/

simcse-dist-mpnet-czeng-cs-en

Sentence Similarity

feature-extraction

text-embeddings-inference

Inference Endpoints

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nekoboost commited on Nov 2, 2023

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@@ -8,7 +8,7 @@ pipeline_tag: sentence-similarity
 ## SimCSE
-SimCSE-RetroMAE-Small is the [Seznam/Seznam/dist-mpnet-czeng-cs-en](https://huggingface.co/Seznam/dist-mpnet-czeng-cs-en) model fine-tuned with the [SimCSE](https://arxiv.org/abs/2104.08821) objective.
 This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper]() or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).

 ## SimCSE
+SimCSE-Dist-MPNet-CzEng is the [Seznam/Seznam/dist-mpnet-czeng-cs-en](https://huggingface.co/Seznam/dist-mpnet-czeng-cs-en) model fine-tuned with the [SimCSE](https://arxiv.org/abs/2104.08821) objective.
 This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper]() or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).