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upskyy/bge-m3-korean

Sentence Similarity·upskyy· 123.2K· 64
sentence-transformers Sentence Similarity 567.8M params

This model is korsts and kornli finetuning model from BAAI/bge-m3. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

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# pull & run locally
pip install mlforge-sdk && mlforge pull upskyy/bge-m3-korean

Model details

Task
Sentence Similarity
Provider
upskyy
Framework
sentence-transformers
Parameters
567.8M
Size
2.1 GB
Downloads
123.2K
Likes
64
Paper
arXiv:2402.03216
Updated
2024-08-09

About upskyy/bge-m3-korean

This model is korsts and kornli finetuning model from BAAI/bge-m3. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

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