How to use vab46/nomic-embed-text-v1.5_Clinical-Trials_Matryoshka2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vab46/nomic-embed-text-v1.5_Clinical-Trials_Matryoshka2", trust_remote_code=True) sentences = [ "Visual Stimulation Through Video Therapy to Enhance Lower Limb Motor Recovery After Stroke Use of Intensive Visual Stimulation Through Video Therapy to Enhance Lower Limb Motor Recovery After Stroke (SIVIMI). A Single-Center Pilot Study Using a Single-Case Experimental Design (SCED)", "What is the condition affecting the children participating in this trial?", "What is the focus of this clinical trial?", "What is the focus of this clinical trial?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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