sentence-transformers How to use ayushexel/embed-all-MiniLM-L6-v2-squad-1-epochs with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("ayushexel/embed-all-MiniLM-L6-v2-squad-1-epochs")
sentences = [
"Along with Mother of God, Immaculate Conception and Assumption of Mary, what is the other Catholic dogma related to Mary?",
"\nIn the Catholic Church, Mary is accorded the title \"Blessed\", (from Latin beatus, blessed, via Greek μακάριος, makarios and Latin facere, make) in recognition of her assumption to Heaven and her capacity to intercede on behalf of those who pray to her. Catholic teachings make clear that Mary is not considered divine and prayers to her are not answered by her, they are answered by God. The four Catholic dogmas regarding Mary are: Mother of God, Perpetual virginity of Mary, Immaculate Conception (of Mary) and Assumption of Mary.",
"\nIn the Catholic Church, Mary is accorded the title \"Blessed\", (from Latin beatus, blessed, via Greek μακάριος, makarios and Latin facere, make) in recognition of her assumption to Heaven and her capacity to intercede on behalf of those who pray to her. Catholic teachings make clear that Mary is not considered divine and prayers to her are not answered by her, they are answered by God. The four Catholic dogmas regarding Mary are: Mother of God, Perpetual virginity of Mary, Immaculate Conception (of Mary) and Assumption of Mary.",
"Genes are regulated so that they are expressed only when the product is needed, since expression draws on limited resources.:7 A cell regulates its gene expression depending on its external environment (e.g. available nutrients, temperature and other stresses), its internal environment (e.g. cell division cycle, metabolism, infection status), and its specific role if in a multicellular organism. Gene expression can be regulated at any step: from transcriptional initiation, to RNA processing, to post-translational modification of the protein. The regulation of lactose metabolism genes in E. coli (lac operon) was the first such mechanism to be described in 1961."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
