Transformers and attention Transformers represent a breakthrough in deep learning, especially for natural language processing. They use attention mechanisms to weigh the importance of different input elements. Unlike previous models, transformers process data in parallel, enabling efficient handling of large...
Learn how deep learning relates to machine learning and AI. In Azure Machine Learning, use deep learning models for fraud detection, object detection, and more.
Learn how deep learning relates to machine learning and AI. In Azure Machine Learning, use deep learning models for fraud detection, object detection, and more.
另一方面,Transformers克服了这些障碍,彻底改变了这一领域,并为现代大型语言模型奠定了基础。 自注意力和Transformer架构 2.1 Transformer架构的关键创新 自注意力机制 (Self-Attention):与按顺序处理标记并难以应对长程依赖性的RNN不同,Transformers使用自注意力来权衡每个标记相对于其他标记的重要性。这使得模型能够动态关...
具体来说,首先需要从 Transformers 库中加载预训练模型,然后对数据 GLUE-MNLI 进行处理,并得到相应的 dataloader。随后,针对模型和数据集 GLUE-MNLI,构建相应的训练/评估函数。最后将模型在 GLUE-MNLI 数据集上进行微调。 完成以上步骤就相当于完成了数据/模型等的准备工作,可以得到预训练模型在 MNLI 数据集上微调后...
Learn what deep learning is, what deep learning is used for, and how it works. Get information on how neural networks and BERT NLP works, and their benefits.
Transformers with DeepSpeed Accelerate with DeepSpeed Lightning with DeepSpeed MosaicML with DeepSpeed Determined with DeepSpeed MMEngine with DeepSpeed Build Pipeline Status DescriptionStatus NVIDIA AMD CPU Intel Gaudi Intel XPU PyTorch Nightly Integrations ...
Transformers TitleDatasetDescriptionNotebooks Multilabel DistilBERTJigsaw Toxic Comment ChallengeDistilBERT classifier fine-tuning DistilBERT as feature extractorIMDB movie reviewDistilBERT classifier with sklearn random forest and logistic regression DistilBERT as feature extractor usingembetterIMDB movie reviewDis...
In this paper, we study transformers for text-based games. As a promising replacement of recurrent modules in Natural Language Processing (NLP) tasks, the transformer architecture could be treated as a powerful state representation generator for reinforcement learning. However, the vanilla transformer ...
Learn how deep learning works and how to use deep learning to design smart systems in a variety of applications. Resources include videos, examples, and documentation.