How to use aspire/acge_text_embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aspire/acge_text_embedding") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
@infgrad 嗨，你好，前几天，在huggenface中我提交了一个模型，acge-large-zh-v2，还未出现在c_mteb榜单中。我看了问题，说无法复现Classification结果，在第一时间查看了，确实是以前改动过一些代码，导致出现了乌龙时间，所以立刻下架了此模型。经过几天的辛苦工作，重新发布了新的模型，欢迎来测试看精度是否准确。 :)
hi，已经验证，没有问题了，恭喜！
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