sentence-transformers How to use pierluigic/xl-lexeme with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("pierluigic/xl-lexeme")
sentences = [
"Provide a large table; this is a horizontal <t>plane</t>, and will represent the ground plane, viz.",
"The President's <t>plane</t> landed at Goose Bay at 9:03 p.m.",
"any line joining two points on a <t>plane</t> lies wholly on that plane",
"the flight was delayed due to trouble with the <t>plane</t>"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]
