sentence-transformers How to use bobox/E5-base-unsupervised-TSDAE with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("bobox/E5-base-unsupervised-TSDAE")
sentences = [
"One mole of a substance of substance such atoms or). The is known or Avogadro's constant",
"how effective are birth control pills and pulling out?",
"can pvc be phthalate free?",
"One mole of a substance is equal to 6.022 × 10²³ units of that substance (such as atoms, molecules, or ions). The number 6.022 × 10²³ is known as Avogadro's number or Avogadro's constant."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
