缺陷：tf.data.Dataset不能像torch的dataset一样用__getitem__方法按照索引去切片，只能一个个batch生成...
python -m torch.distributed.launch --nproc_per_node=8 ./examples/run_squad.py \ --model_type bert \ --model_name_or_path bert-large-uncased-whole-word-masking \ --do_train \ --do_eval \ --do_lower_case \ --train_file $SQUAD_DIR/train-v1.1.json \ --predict_file $SQUAD_DIR/...
trust_remote_code=True,cache_dir='/home/{username}/huggingface')# Set `torch_dtype=torch.float1...
import torch # Load a YOLOv5 model (options: yolov5n, yolov5s, yolov5m, yolov5l, yolov5x) model = torch.hub.load("ultralytics/yolov5", "yolov5s") # Default: yolov5s # Define the input image source (URL, local file, PIL image, OpenCV frame, numpy array, or list) img = "...
torch 2.2.0 transformers 4.38.2 pandas 2.0.3 数据集和模型: 链接:https://pan.baidu.com/s/1RMvSyrtjIeXUyB4fOyjDOQ?pwd=0w63 提取码:0w63 pytorch版本代码: import torch from transformers import AutoModelForSequenceClassification, BertTokenizer ...
max(torch.where(row)[0]) for row in mask] else: raise ValueError(f"Unsupported backend: {keras.backend.backend()}") # Find position of last 'True' in each row. seq_ends: Sequence[int] = [ 1 + tf.reduce_max(tf.where(mask[i])).numpy().tolist() for i in range(mask.shape[0...
TorchScript(PyTorch 的 JIT 实现) TorchScript是Pytorch模型(继承自nn.Module)的中间表示,可以在像C++这种高性能的环境中运行。 用JIT 将 Python 模型转换为 TorchScript Module https://pytorch.org/docs/stable/generated/torch.jit.trace.html 1.2 JIT的好处 ...
我们进行手动的编写close()方法进行关闭，然而，每次这些写会造成代码冗余不优雅，JDK中对于释放资源有...
next_inputs: 训练时使用Teaching Force,传入下一个decoder cell的就是前一个位置的实际token embedding,所以这里next_input直接读取input sequence的下一个值,如果finished都是True就返回0【其实返回啥都无所谓因为在loss那里padded的部分会被mask掉】 state: 这里是打酱油的,直接pass-throuh 代码语言:javascript 代码...
#Let's encode some text in a sequence of hidden-states using each model: for model_class, tokenizer_class, pretrained_weights in MODELS: # Load pretrained model/tokenizer tokenizer = tokenizer_class.from_pretrained(pretrained_weights) model = model_class.from_pretrained(pretrained_weights) ...