natural_language_processing_with_transformers's Introduction

Natural Language Processing with Transformers

用Transformers处理自然语言：创建基于Hugging Face的文本内容处理程序

Natural Language Processing with Transformers: Building Language Applications with Hugging Face

Lewis Tunstall, Leandro von Werra, and Thomas Wolf （Hugging face Transformer库作者 , 详情：作者介绍）

《Hands-on Machine Learning with Scikit-Learn and TensorFlow》作者 Aurélien Géron 撰写序。

人工智能博士倾情翻译

***承接人工智能书籍的商业化翻译服务微信：znsoft

2022年新书《用Transformers处理自然语言 - 创建基于hugging face transformer程序库的自然语言处理程序》中文翻译版

下载PDF PDF版本有滞后性，最新内容以github仓库中的markdown文件为准。

出版联系（需要能引进版权的出版社）： [email protected] Daniel ，微信： znsoft

本译文在代码或文本中已经嵌入水印，非授权商业使用将追究法律责任！！！

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本版本为初稿，欢迎大家Star, PR, Fork 一键三连！

原始github 仓库

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其它资源

Transformer 上手教程

natural_language_processing_with_transformers's Issues

transfomer被翻译成变形金刚或者变压器

1.GPT和BERT为各种NLP基准设定了新的技术状态，并迎来了变压器的时代。
2.你将在这些文字中发现的信息的广度和深度将是令人震惊的。它涵
盖了从变形金刚架构本身，到变形金刚库和围绕它的整个生态系统的所有内容。

建议这些不用翻译，直接保留transformer

Code Error

In the chapter02

import torch import torch.nn.functional as F 
input_ids = torch.tensor(input_ids) 
one_hot_encodings = F.one_hot(input_ids, num_classes=len(token2idx)) 



one_hot_encodings.shape 
torch.Size([38, 20])

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