sentence-transformers How to use imageomics/trait2vec with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("imageomics/trait2vec")
sentences = [
"Ventral humeral ridge: or not",
"If metasternum ossified, shape: long, narrow and tapering markedly anteriorly to posteriorly, length up to 3.5 times maximum width",
"Astragalus, dorsolateral margin:: overlaps the anterior and posterior portions of the calcaneum equally",
"Ulna size: does not apply"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
