pkshatech
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GLuCoSE-base-ja

Sentence Similarity

sentence-transformers

feature-extraction

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akiFQC commited on Jul 24, 2023

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@@ -22,7 +22,7 @@ datasets:
 # GLuCoSE (General Luke-based Contrastive Sentence Embedding)-base-Japanese
-[日本語のREADME/Japanese README](https://huggingface.co/pkshatech/GLuCoSE-base-ja)
 GLuCoSE (General LUke-based COntrastive Sentence Embedding, "glucose") is a Japanese text embedding model based on [LUKE](https://github.com/studio-ousia/luke). In order to create a general-purpose, user-friendly Japanese text embedding model, GLuCoSE has been trained on a mix of web data and various datasets associated with natural language inference and search. This model is not only suitable for sentence vector similarity tasks but also for semantic search tasks.
 - Maximum token count: 512

 # GLuCoSE (General Luke-based Contrastive Sentence Embedding)-base-Japanese
+[日本語のREADME/Japanese README](https://huggingface.co/pkshatech/GLuCoSE-base-ja/blob/main/README_JA.md)
 GLuCoSE (General LUke-based COntrastive Sentence Embedding, "glucose") is a Japanese text embedding model based on [LUKE](https://github.com/studio-ousia/luke). In order to create a general-purpose, user-friendly Japanese text embedding model, GLuCoSE has been trained on a mix of web data and various datasets associated with natural language inference and search. This model is not only suitable for sentence vector similarity tasks but also for semantic search tasks.
 - Maximum token count: 512