Sentence Similarity
sentence-transformers
Safetensors
Chinese
bert
structural-isomorphism
cross-domain
analogy
text-embeddings-inference
Instructions to use qinghuiwan/structural-isomorphism-v2-expanded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use qinghuiwan/structural-isomorphism-v2-expanded with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("qinghuiwan/structural-isomorphism-v2-expanded") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README with V2 expanded metrics, discovery pipeline results, and 19 A-level findings
Verified signature3b5ff02
-
Upload README.md with huggingface_hub
Verified signature9c9c9b5 -
Upload folder using huggingface_hub
Verified signature60cc984 -
initial commit
Verified signature5e601c3