sentence-transformers How to use RoyMandira/Semantic_Requirement_Pair_Identifier with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("RoyMandira/Semantic_Requirement_Pair_Identifier")
sentences = [
"The system's contact form must include a CAPTCHA to prevent spam.",
"As a Developer I want D Files generation requests to be managed and cached so that duplicate requests do not cause performance issues.",
"The Spacecraft in orbit shall automatically detect faults, failures or errors, which may adversely affect the mission",
"Identify energy-intensive appliances and peak demand periods."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
