class simpletransformers.question_answering.QuestionAnsweringModel (model_type, model_name, args=None, use_cuda=True) This class is used for Question Answering tasks. Class attributes tokenizer: The tokenizer to be used. model: The model to be used. model_name: Default Transformer model name or...
使用transformer架构实现简单的英语翻译中文模型. Contribute to junlongzhao/transformer-simple development by creating an account on GitHub.
Transformer引爆机器学习圈 2017年6月,谷歌发布「Attention Is All You Need」论文时,或许谁也没有想到这个深度学习架构Transformer能够带来多少惊喜。 从诞生至今,Transformer已经成为AI领域的基石王者。19年,谷歌还专门为其申请了专利。 随着Transformer在NLP领域占据了主流地位,还开始了向其他领域的跨界,越来越多的工作...
此时,就可以输入python代码了,例如输入print("test"),点三角形运行,会打印出print。 这就是colab的简单基操,接下来,我们在hub上找一个能生成摘要的模型,比如google公司的t5-base模型,t5是Transfer Text-to-Text Transformer 的简写,就是把所有任务,如分类、相似度计算、文本生成都用一个Text-to-text(文本到文本)...
STN为最早关注相关区域的注意力机制,DCN,DCN V2也是此后研究关注相关区域的注意力;GENet为预测潜在mask的注意力机制;在自注意力机制上,一开始提出是Non-local,后续有提高效率的自注意力:CCNet,EMANet; 有关注局部的自注意力:SASA,SAN;从transformer 进入cv后,又有基于transformer改进的自注意力:ViT,DETR等,下面一一...
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch. Significance is further explained in Yannic Kilcher's video. There's really not much to code here, but may as well lay it out for everyone so we ...
Write With Transformer,由抱抱脸团队打造,是一个文本生成的官方 demo。 如果你在寻找由抱抱脸团队提供的定制化支持服务 快速上手 我们为快速使用模型提供了pipeline(流水线)API。流水线聚合了预训练模型和对应的文本预处理。下面是一个快速使用流水线去判断正负面情绪的例子: ...
Kyubyong/transformerPublic NotificationsYou must be signed in to change notification settings Fork1.3k Star4.3k master 2Branches0Tags Code Folders and files Name Last commit message Last commit date Latest commit kyubyong park removed query masking ...
GPT-2 is a huge transformer-based language model that is trained on an equally massive dataset, text from over 8 billion web pages, to be exact. The goal? Predict the next word/s when given a set or all of the previous words from a context. ...
class simpletransformers.question_answering.QuestionAnsweringModel (model_type, model_name, args=None, use_cuda=True) This class is used for Question Answering tasks. Class attributes tokenizer: The tokenizer to be used. model: The model to be used. model_name: Default Transformer model name or...