leaf-ygq
leaf-ygq
Hi @EmilyAlsentzer , I want to know if the code can be run with multiple GPUs. I change the parameter of trainer in train_config.py.  But there was something wrong...
 bge-m3dui对显卡gpu要求很高。 之前我用bge-v1.5能够轻轻松松同时对长度为10000+的字符串数组进行编码,但在使用bge-m3同时对长度为10000+的字符串数组进行编码时,报错了,有什么办法能够解决吗?
 像上图红框框的位置,原来是cpu,代码运行成功,但我想把模型加载在cuda:0卡上,把"cpu"改成"cuda:0"后,报下面这个错误了,要怎么改,才能让模型部署到gpu上呢?  另外,也尝试了下面这种方式,模型依旧不能加载到cuda0卡上,大佬指点一下吧 
I have 15,000 pieces of data stored in chromadb. Each piece of data contains (document name, document content). I searched the document names of these 15000 data without modification, but...