How to use jinoooooooooo/bert-base-cased-nli-tsdae with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jinoooooooooo/bert-base-cased-nli-tsdae") sentences = [ "A man his", "A construction worker peeking out of a manhole while his coworker sits on the sidewalk smiling.", "A man is jumping unto his filthy bed.", "A man is sitting in a chair and looking at something that he is holding." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
