Sentence Similarity
sentence-transformers
Safetensors
qwen3
embedding
biomedical
rare-disease
phenotype
retrieval
text-embeddings-inference
Instructions to use r76941156/rare-disease-embedding-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use r76941156/rare-disease-embedding-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("r76941156/rare-disease-embedding-model") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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## Citation
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Yan C, Su WC, Xin Y, Grabowska ME, Kerchberger VE, Borza VA, Wang J, Wang L, Li R, Lynn J, Dickson AL.
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## Citation
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Yan C*, Su WC*, Xin Y, Grabowska ME, Kerchberger VE, Borza VA, Wang J, Wang L, Li R, Lynn J, Dickson AL, Shyr C, Feng Q, Stein CM, Wang K, Embi PJ, Malin BA, Liu H, Wei WQ. Reframing AI for rare disease recognition. Nature Communications. In press.
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