sentence-transformers How to use albertus-sussex/veriscrape-book-test-sbert-bs128_lr0.0002_ep5_euclidean_snTrue_spFalse_hn1_spl100 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("albertus-sussex/veriscrape-book-test-sbert-bs128_lr0.0002_ep5_euclidean_snTrue_spFalse_hn1_spl100", trust_remote_code=True)
sentences = [
": 9780312368784",
"isbn_13",
"Dean R. Koontz",
"author",
"9781581210194"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [5, 5] 
