How to use davanstrien/iconclass-retriever-bge-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("davanstrien/iconclass-retriever-bge-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]
https://huggingface.co/davanstrien/iconclass-retriever-bge-ft/resolve/main/tokenizer.json
hf download hf://davanstrien/iconclass-retriever-bge-ft/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/davanstrien/iconclass-retriever-bge-ft/resolve/main/tokenizer.json
