sentence-transformers How to use shubhamggaur/MedVisionRouter with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("shubhamggaur/MedVisionRouter")
sentences = [
"Are there mitotic figures visible?",
"skin biopsy showing inflammatory or neoplastic process",
"immunohistochemistry staining for cancer subtyping",
"skin surface showing pigmented lesion characteristics"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
