How to use cespinr/StyleECU with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cespinr/StyleECU") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
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[ { "idx": 0, "name": "0", "path": "", "type": "sentence_transformers.base.modules.transformer.Transformer" }, { "idx": 1, "name": "1", "path": "1_Pooling", "type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling" } ]
