_states 302 ~/anaconda3/lib/python3.6/site-packages/transformers/modeling_bert.py in gelu(x) 126 Also see https://arxiv.org/abs/1606.08415 127 """ --> 128 return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 129 130 def gelu_new(x): RuntimeError: CUDA out of memory. ...
tricky_pairs=[ ("An elephant is bigger than a lion", "A lion is bigger than an elephant") , ("the cat sat on the mat", "the mat sat on the cat")] evaluate(glove_pool_embeddings, tricky_pairs) ([1.0, 1.0], 1.0) evaluate(gru_embeddings, tricky_pairs) ([0.87, 0.65], 0.76) ...
The generation script includes the tricks proposed by Aman Rusia to get high-quality generation with memory models like Transformer-XL and XLNet (include a predefined text to make short inputs longer).Here is how to run the script with the small version of OpenAI GPT-2 model:python ./...
evaluate <来源> ( eval_dataset: Optional = None ignore_keys: Optional = None metric_key_prefix: str = 'eval' **gen_kwargs ) 参数 eval_dataset (Dataset, 可选)— 如果要覆盖self.eval_dataset,请传递一个数据集。如果它是一个Dataset,则不被model.forward()方法接受的列将自动删除。它必须实现_...
因为evaluation调用可能发生在train期间,我们无法处理嵌套调用,因为torch.cuda.max_memory_allocated是一个计数器,所以如果它被嵌套的 eval 调用重置,train的跟踪器将报告不正确的信息。如果这个pytorch 问题得到解决,将有可能将这个类改为可重入。在那之前,我们只会跟踪train、evaluate和predict方法的外层级别。这意味着如...
If `True`, this variable will be set back to `False` at the beginning of the next step. should_evaluate (`bool`, *optional*, defaults to `False`): Whether or not the model should be evaluated at this step. If `True`, this variable will be set back to `False` at the beginning ...
We order two different types of jewelry from this company the other jewelry we order is perfect. However with this jewelry I have a few things I don't like. The little Stone comes out of these and customers are complaining and bringing them ...
这里的Transformers指的是huggingface开发的大模型库,为huggingface上数以万计的预训练大模型提供预测、训练等服务。 🤗 Transformers 提供了数以千计的预训练模型,支持 100 多种语言的文本分类、信息抽取、问答、摘要、翻译、文本生成。它的宗旨是让最先进的 NLP 技术人人易用。 🤗 Transformers 提供了便于快速下载...
指定CUDA 作为 torch 的设备 现在我们将指定 torch 使用计算统一设备架构(CUDA)来利用 NVIDIA 卡的并行计算能力,为我们的多头注意力模型工作: #@title Harware verification and device attributiondevice = torch.device("cuda" if torch.cuda.is_available() else "cpu")!nvidia-smi ...
from in-memory data like python dict or a pandas dataframe. 我们可以查看数据内容 raw_train_dataset = raw_datasets["train"] raw_train_dataset[0] >>> {'idx': 0, 'label': 1, 'sentence1': 'Amrozi accused his brother , whom he called "the witness" , of deliberately distorting his evid...