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dongjicheng/roformer-tiny-matcher
roformer-tiny-matcher is a feature extraction model from dongjicheng. Use it when you need embeddings to search or compare text. It is set up for transformers.
1.私域训练集百万,比ada召回率高30%。 2.速度快,上下文长度1536,向量维度 768。
Downloads · 30 days
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.safetensors211 MB · 99%
From the Hugging Face model README
1.私域训练集百万,比ada召回率高30%。 2.速度快,上下文长度1536,向量维度 768。
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('dongjicheng/roformer-tiny-matcher')
sentences = [ '运动适应性的分子机制及治疗靶点[#]本文综述了运动对健康的益处和相关的分子机制,探讨了基于运动生物学设计新的治疗策略的可能性,并列举了相关的例子。', 'text集团第四季度财报:月度经常性收入增长,arpu稳步提升[#]text集团第四季度财务数据显示,月度经常性收入达到660,000美元,同比增长4.1%。。', '货车司机应用程序mudflap的燃料卡业务挑战与问题[#]本文讨论了mudflap的燃料卡业务,包括与加油站达成协议、成本波动、交易费用问题等挑战。' ]
embeddings = model.encode(sentences)