sentence-transformers How to use kuljeet98/productOne-bert with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("kuljeet98/productOne-bert")
sentences = [
"president",
"assistante de banque priv e banco santander rio",
"worldwide executive vice president corindus a siemens healthineers company",
"soporte t cnico superior"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
