How to use KeZZ08/mirror-memory-default-embedding-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KeZZ08/mirror-memory-default-embedding-model") 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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{ "module_input_name": "sentence_embedding", "module_output_name": "sentence_embedding" }
