sentence-transformers How to use davanstrien/iconclass-retriever-bge-large-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("davanstrien/iconclass-retriever-bge-large-ft")
sentences = [
"This image features a woodcut illustration of a grove of trees enclosed within an oval frame. The trees, which appear to be a mix of deciduous and coniferous varieties, stand on a grassy bank beside a body of water. The scene is framed by architectural elements and inscribed with text in Latin, French, and German.",
"Imparity, Inequality, Difference",
"Contrariety; 'Contrarietà' (Ripa)",
"Absoluteness, Non-relatedness",
"Multiformity, Variety",
"Dissimilarity, Unlikeness"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [6, 6] 
