sentence-transformers How to use Deehan1866/finetuned-bert-large with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Deehan1866/finetuned-bert-large")
sentences = [
"The valve will open 100% when the set point is reached and will remain open until a certain blow down factor is reached.",
"Having raised $17,000,000 in a standard matter, one of the first speculative IPOs, Tucker needed more money to continue development of the car.",
"The valve will open 100% when the tennis scoring protocol is reached and will remain open until a certain blow down factor is reached.",
"But the government of PML (N) gave it the complete exponential of a Tehsil."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
