为此,我们将使用save_file函数。 importtorchfromsafetensors.torchimportsave_file,load_filetensors={"weight1":torch.zeros((1024,1024)),"weight2":torch.zeros((1024,1024))}save_file(tensors,"new_model.safetensors") 为了加载张量,我们将使用load_file函数。 load_file("new_model.safetensors"){'...
from safetensors.torch import load_file import torch import numpy as np from tqdm.auto import tqdm sf_filename = hf_hub_download("gpt2", filename="model.safetensors") pt_filename = hf_hub_download("gpt2", filename="pytorch_model.bin") torch_load_times = [] st_load_time = [] ...
在成功导入safetensors.torch模块后,你可以查看该模块中是否包含load_file函数。这通常可以通过查看模块的__all__属性或使用dir()函数来实现,但最直接的方法是尝试导入该函数(如上述代码所示)。如果导入没有报错,说明load_file函数确实存在于safetensors.torch模块中。 了解load_file函数的参数和使用方法: load_fil...
复制 from safetensors.torchimportload_file # 加载模型权重 loaded_state_dict=load_file("model.safetensors")# 加载到模型中 model.load_state_dict(loaded_state_dict) 使用safetensors时,模型的加载和保存方式与直接使用PyTorch的.pt或.pth文件不同,它提供了额外的安全特性,特别是在模型的分发和共享方面 三...
在第二个示例中,我们将尝试保存使用torch.zeros创建的张量。为此,我们将使用save_file函数。 复制 importtorchfromsafetensors.torchimportsave_file,load_file tensors={"weight1": torch.zeros((1024,1024)),"weight2": torch.zeros((1024,1024))} ...
from safetensors.torch import load_file # 加载模型权重 loaded_state_dict = load_file("model.safetensors") # 加载到模型中 model.load_state_dict(loaded_state_dict) 使用safetensors时,模型的加载和保存方式与直接使用PyTorch的.pt或.pth文件不同,它提供了额外的安全特性,特别是在模型的分发和共享方面...
from safetensors.torch import save_file, load_file tensors = { "weight1": torch.zeros((1024, 1024)), "weight2": torch.zeros((1024, 1024)) } save_file(tensors, "new_model.safetensors") And to load the tensors, we will use theload_filefunction. ...
import safetensors; safetensors.torchseems to fail because torch is not a member ofsafetensors(which is true), whilefrom safetensors.torch import load_fileworks because it imports correctly from the module. I don't remember specifically why Python does this, but seems by design:https://sta...
opckpt load to cpuckpt load to cudasafetensors load_file to cpusafetensors load_file to cudasafetensors loadcode load weights 6.4s 6.0s 0.9s 66.2s 5.5s (see below) create model 0.3s 0.3s 0.3s 0.3s 0.3s model = instantiate_from_config(config) apply weights 0.4s 1.0s 18.7s 1.0s ...
这里我们只看关于处理.safetensors部分的逻辑。这里调用的许多函数都是safetensors库中的,如safe_open,safe_load_file等。这里首先调用metadata读取*.safetensors文件中的元数据,并查看该文件的格式,检查是否支持。若支持,则调用safe_load_file加载state_dict。