Sentence Similarity
sentence-transformers
Safetensors
Japanese
English
qwen3
feature-extraction
mteb
japanese
retrieval
text-embeddings-inference
Instructions to use sionic-ai/comsat-embed-ja-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-ja-8b-preview with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sionic-ai/comsat-embed-ja-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
File size: 376 Bytes
0d58847 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
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"tokenizer_class": "Qwen2Tokenizer",
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}
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