Web Scraping Repository探索Kampus Merdeka、Tokopedia、新闻标题、电子商务和Playstore评论的抓取语法。演示：拥抱的脸。提取有价值的数据进行分析。
Web Scraping Repository Explore scraping syntax for Kampus Merdeka, Tokopedia, News Headlines, E-Commerce, and Playstore Reviews. Demo: Hugging Face. Extract valuable data for analysis. (2024-01-01, Jupyter Notebook, 0KB, 下载0次)
从头开始构建的transformer，带Tensorflow，没有文本摘要的拥抱面（与新闻文本一起训练），
Transformer built from scratch w Tensorflow w o Hugging Face for Text Summarization (trained with news text), (2023-08-14, Jupyter Notebook, 0KB, 下载0次)
本项目的目标是对点击诱饵新闻和非点击诱饵消息进行分类。我有一个微调SOTA XLNet模块...
The project goal is to the classification of clickbait news and non-clickbait news. I have a fine-tune SOTA XLNet model for classification. I have used the amazing Transformers library by Hugging Face with PyTorch. (2020-06-30, Jupyter Notebook, 1725KB, 下载0次)
使用来自拥抱面部中心的预训练模型的计算机视觉模型。它根据质量对豆类照片进行分类。
A computer vision model using a pre-trained model from the hugging face hub. It classifies beans photos by its quality. (2022-11-09, Jupyter Notebook, 553KB, 下载0次)
目标是建立一个模型，可以预测给定帖子的新闻组类别。
The objective is to build a model that can predict the newsgroup category for a given post. (2023-03-06, Jupyter Notebook, 27KB, 下载0次)
将新闻分为五类：商业、娱乐、政治、体育和科技。
classify news into five categories: business, entertainment, politics, sport, and tech. (2023-03-09, Jupyter Notebook, 2792KB, 下载0次)
假新闻_隐藏_FACE，，
FakeNews_Hugging_FACE,, (2022-03-13, Jupyter Notebook, 23747KB, 下载0次)