Comments (6)
embedding模型一般都是需要在特定的领域知识做相关微调,如果是拿bert做embedding,可以具体看bert的微调。
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我现在已经有相关的领域知识了,我想基于你已经训练出来的text2vec-large来做微调,这个可行吗?有相关的方法可以做吗
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我现在已经有相关的领域知识了,我想基于你已经训练出来的text2vec-large来做微调,这个可行吗?有相关的方法可以做吗
参考https://github.com/shibing624/text2vec 进行数据准备和训练。预训练模型可以和我一样使用https://github.com/ymcui/LERT (最终的文本匹配任务的准确度主要还是依赖预训练模型)。
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感谢,这里的预训练模型是指我们使用的LLM是吧?看样子还是对LLM,针对特定领域知识做lora来的好一些啊
from document.ai.
感谢,这里的预训练模型是指我们使用的LLM是吧?看样子还是对LLM,针对特定领域知识做lora来的好一些啊
推荐你详细了解一下NLP整个技术路线。你这句话里面有好几处相互矛盾的技术点。如果还有其他与本仓库相关技术问题,可以后续继续提问。
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请问可以用无监督领域文本直接在GanymedeNil/text2vec-large-chinese模型上做微调吗?
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