Sentence Similarity
sentence-transformers
Safetensors
Korean
English
qwen3
feature-extraction
mteb
korean
retrieval
text-embeddings-inference
Instructions to use sionic-ai/comsat-embed-ko-8b-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sionic-ai/comsat-embed-ko-8b-preview with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sionic-ai/comsat-embed-ko-8b-preview") 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
- Xet hash:
- 1cc0ea2ab1bbf3cbace4de2db48b896d87952770454248e054846db5aef23597
- Size of remote file:
- 11.4 MB
- SHA256:
- 31f82e8f8c173bff1b34626d065393d33938f6d27a7448cfb706bbf9d3c0e651
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