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Returns: List of embeddings, one for each text. """ import sentence_transformers texts = list(map(lambda x: x.replace("\n", " "), texts)) if self.multi_process: pool = self.client.start_multi_process_pool() embeddings = self.client.encode_multi_process(texts, pool) sentence_transformers.SentenceTransformer.stop_multi_process_pool(pool) else ...
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