SwissArmyTransformer
SwissArmyTransformer copied to clipboard
SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.
加载visualglm模型的时候报错: For torch.distributed users or loading model parallel models, set environment variables RANK, WORLD_SIZE and LOCAL_RANK. Traceback (most recent call last): File "/root/TransGPT/multi_modal/hf_infer.py", line 3, in model = AutoModel.from_pretrained("THUDM/visualglm-6b", trust_remote_code=True).half().cuda()...
想问一下这里是如何实现ema模型的保存呢:  从这里没有看到model被显示的修改,是deepspeed内完成的么? 我有check保存下来的model和ema_model,发现参数是完全一样的,所以不确定是不是使用方式有问题,望解答,感谢