Sentence Similarity
sentence-transformers
Safetensors
Korean
English
multilingual
embedding_gemma2
embedding
feature-extraction
multimodal-embedding
visual-document-retrieval
korean
retrieval
matryoshka
Instructions to use jonpark0/embeddinggemma-2-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jonpark0/embeddinggemma-2-ko with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jonpark0/embeddinggemma-2-ko") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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v0.3: add Korean document-image training (beta 0.1875)
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6 days ago
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v0.2: add synthetic Korean queries to training data (alpha 0.25)
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7 days ago
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Add model card
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Add model weights and config (v0.1, alpha 0.25)
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initial commit
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