sentence-transformers How to use sobamchan/st5-base-mean-2000 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("sobamchan/st5-base-mean-2000")
sentences = [
"A man is jumping unto his filthy bed.",
"A young male is looking at a newspaper while 2 females walks past him.",
"The bed is dirty.",
"The man is on the moon."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
