Sentence Similarity
sentence-transformers
Safetensors
Russian
English
qwen3
feature-extraction
retrieval
kompas-3d
cad
api-search
russian
text-embeddings-inference
Instructions to use dwnmf/KOMPAS-3D-GUARD-600M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dwnmf/KOMPAS-3D-GUARD-600M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dwnmf/KOMPAS-3D-GUARD-600M") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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Модели KOMPAS-3D GUARD распространяются по лицензии CC BY-NC 4.0 — только для некоммерческого использования. Для коммерческой лицензии напишите на hello@kompasmcp.ru.
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