sentence-transformers How to use swardiantara/bert-tiny-snli-k5-fixed-euclidean with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("swardiantara/bert-tiny-snli-k5-fixed-euclidean")
sentences = [
"A woman in a green jacket and hood over her head looking towards a valley. [SEP] The woman is wearing green.",
"A group of young children kick around a ball on a field with a body of water in the background. [SEP] The children are playing video games.",
"A brown dog sits alone in front of a snowbank. [SEP] The dog is getting a tan on the beach.",
"A man on stilts is playing a tuba for money on the boardwalk. [SEP] A male street performer with a tuba is playing outside."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
