How to use Observer2399/erdanei-security-encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Observer2399/erdanei-security-encoder") sentences = [ "9.1. Instrucciones alternativas .............................................................................................. 84", "4.5 Lugardedefinicio´n", "3.4 Seleccio´nmu´ltipleconlasentenciaif . . . . . . . . . . . . . . . . . . . . . . . . 39", "llamadas ensambladores (en inglés Assembler)." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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