Pytorch 加载 模型

Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

My pytorch environments

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

A well-packed PyTorch development runtime, CUDA ready.

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

pytorch-cuda development

1.保存和加载模型 # 模型保存model=ModelClass(*args,**kwargs)torch.save(model,'model.ckpt')# 模型加载model=torch.load(PATH)   保存整个网络的的结构信息和模型参数信息，save的对象是网络net。加载时无需再定