How to use iampanda/zpoint_large_embedding_zh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("iampanda/zpoint_large_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]
下了若干0.6B和4B的embedding模型，用自己的业务数据（商超领域）测试对比，发现zpoint模型表现相当能打，准确率甚至超过某个4B模型。
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