How to use Matjac5/MNLP_M3_rag_model_old with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Matjac5/MNLP_M3_rag_model_old") sentences = [ "What swims to female reproductive organs for fertilization?", "93.2", "male gametes", "Quadrangular membrane" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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