os.makedirs(model_save_dir,exist_ok=True) print("Loading model...") model = AutoModelForCausalLM.from_pretrained("bigcode/santacoder", trust_remote_code=True) print('Saving model...') torch.save(model, os.path.join(model_save_dir,"gptj.pt")) print("Loading tokeninzer...
Load a saved model on Pytorch AttributeError: 'dict' object has no attribute 'seek' 1 Pytorch creating model from load_state_dict 0 Missing keys when loading the model weight in pytorch 0 Loading a pretrained model in PyTorch, error:object not callable 0 load_state_dict()...
老娘真的要吐血啦, pytorch版本load pretrained model不兼容和matlab is unable to call pytorch0.4。 至于为什么matlab不能call pytorch0.4, 网上有很多猜测,比如matlablibc++版本太老,线程的原因,反正都不靠谱,只能回退。 测试别人的网络,要求pytorch0.4以上,然后我就更新啦, 并且在0.4的版本下训练了自己的网络,然后...
cici-tancommentedApr 17, 2018• edited 用百度网盘的pre_trained_model跑test.py得到了这个错误: Traceback (most recent call last): File "test.py", line 16, in model = face_embedding.FaceModel(args) File "/Users/aei/insightface/deploy/face_embedding.py", line 52, ininit ...
By using AutoTokenizer.from_pretrained, you can easily load the tokenizer associated with a specific pre-trained model without explicitly specifying the tokenizer's name or type. This allows for a more streamlined and convenient workflow when working with different...
AutoTokenizer.from_pretrained:从path/vocab.json中加载tokenizer AutoConfig.from_pretrained:从path/config.json中加载模型配置信息 更新模型配置信息:model = Model(config) PreTrainedModel.from_pretrained:加载模型结构和模型参数 load_checkpoint 从checkpoint 中加载模型 parameter,而不加载模型结构...
model = PeftModel.from_pretrained(model,'./lora-alpaca', torch_dtype=torch.float16) And should I use trainer.train(resume_from_checkpoint=xx)? good question, I just got back into my pc and I'll start trying some stuff as I'm lost too ...
2.FutureWarning: The classPretrainedBartModelhas been depreciated, please useBartPretrainedModelinstead. 这是一个警告:PretrainedBartModel类已被弃用,请改用BartPretrainedModel类。 是在说,PretrainedBartModel类将来可能会从库中移除,建议使用BartPretrainedModel类来代替。
model = dict( backbone=dict( depth=101, init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet101'))) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 3. 忽略基础配置的某些字段 如果需要完全修改某一个配置项,如优化器,可以先删除原始配置,再添加新的配置,如使用新的优化器,此时需要使用_...
models.resnet50(pretrained=False)model=model.eval().cuda()input_data=torch.randn(1,3,224,224)...