from sentence_transformers import SentenceTransformer
model = SentenceTransformer("OpenSearch-AI/Ops-MoA-Conan-embedding-v1")
model.encode(['text'])
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Evaluation results
- ndcg_at_10 on MTEB CmedqaRetrievalself-reported48.218
- ndcg_at_10 on MTEB CovidRetrievalself-reported92.664
- ndcg_at_10 on MTEB DuRetrievalself-reported89.233
- ndcg_at_10 on MTEB EcomRetrievalself-reported70.930
- ndcg_at_10 on MTEB MMarcoRetrievalself-reported82.351
- ndcg_at_10 on MTEB MedicalRetrievalself-reported68.276
- ndcg_at_10 on MTEB T2Retrievalself-reported83.509
- ndcg_at_10 on MTEB VideoRetrievalself-reported80.643
from sentence_transformers import SentenceTransformer model = SentenceTransformer("OpenSearch-AI/Ops-MoA-Conan-embedding-v1") 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]