from sentence_transformers import SentenceTransformer
model = SentenceTransformer("OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0")
model.encode(['text'])
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Evaluation results
- ndcg_at_10 on MTEB CmedqaRetrievalself-reported51.461
- ndcg_at_10 on MTEB CovidRetrievalself-reported93.200
- ndcg_at_10 on MTEB DuRetrievalself-reported89.840
- ndcg_at_10 on MTEB EcomRetrievalself-reported71.084
- ndcg_at_10 on MTEB MMarcoRetrievalself-reported82.430
- ndcg_at_10 on MTEB MedicalRetrievalself-reported74.848
- ndcg_at_10 on MTEB T2Retrievalself-reported85.784
- ndcg_at_10 on MTEB VideoRetrievalself-reported79.513
from sentence_transformers import SentenceTransformer model = SentenceTransformer("OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0") 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]