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from sentence_transformers import SentenceTransformer model = SentenceTransformer('symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli') def getvec(text: str): sentences = [text,] embeddings = model.encode(sentences) return embeddings[0]
