How to use swardiantara/bert-tiny-snli-k10-fixed-cosine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("swardiantara/bert-tiny-snli-k10-fixed-cosine") sentences = [ "The school is having a special event in order to show the american culture on how other cultures are dealt with in parties. [SEP] A high school is hosting an event.", "An older man in a red vest and blue cap is walking with a cane carrying a white bag. [SEP] The man is wearing green shorts.", "A soccer player slays on the group and kicks a yellow ball as another player wearing a gray hat runs by. [SEP] The people are at a soccer field.", "A brown dog with a green ball sit in the snow. [SEP] There is an animal outside." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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