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
| comsat-embed-ko-8b-preview | |
| Copyright (c) 2026 Sionic AI | |
| This model is a fine-tuned derivative of Qwen/Qwen3-Embedding-8B | |
| (https://huggingface.co/Qwen/Qwen3-Embedding-8B). | |
| The base model weights, tokenizer, and configuration are: | |
| Copyright (c) Alibaba Cloud (the Qwen team) | |
| Licensed under the Apache License, Version 2.0 (the "License"). | |
| You may obtain a copy of the License at: | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Modifications from the base model were made by Sionic AI. | |
| The fine-tuned model weights are distributed under CC BY-NC 4.0 (see LICENSE). | |