How to use DMetaSoul/Dmeta-embedding-zh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("DMetaSoul/Dmeta-embedding-zh") 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]
请问你们评测的时候是用cls_pooling的吗？mean_pooling效果怎么样呢？两种方式使用场景有什么推荐吗
评测用cls_pooling，不同场景建议以具体任务评测效果来决定
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