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neologize

vi. 创造新语,使用新语,采用新教义

创造新语,使用新语,采用新教义

The Collaborative International Dictionary of English v.0.48 (gcide)

Neologize \Ne*ol"o*gize\, v. i.
1. To introduce or use new words or terms or new uses of old
words.
[1913 Webster]

2. To introduce innovations in doctrine, esp. in theological
doctrine.
[1913 Webster]

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单词	字典	翻译
neologize	查看　neologize　在百度字典中的解释	百度英翻中〔查看〕
neologize	查看　neologize　在Google字典中的解释	Google英翻中〔查看〕
neologize	查看　neologize　在Yahoo字典中的解释	Yahoo英翻中〔查看〕

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Hugging Face - Wikipedia
Hugging Face, Inc is a French-American company based in New York City that develops computation tools for building applications using machine learning It is most notable for its transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets and showcase
Hugging Face - GitHub
Set of auxiliary tools to use with image and video generation libaries Mainly created to be used with diffusers The AI community building the future Hugging Face has 323 repositories available Follow their code on GitHub
What is Hugging Face? Everything we know about the ML . . .
Hugging Face is a leading AI platform known for its open source tools and model repositories Originally created as a chatbot company, it pivoted to focus on machine learning, particularly in
What is Hugging Face? - IBM
The Hugging Face Hub is a central web-based platform where users can share, discover and collaborate on models, datasets and applications It acts like a "GitHub for AI," hosting thousands of publicly available resources
What is Hugging Face? The AI Communitys Open-Source Oasis
Enter: Hugging Face, a game-changer in machine learning and natural language processing and a key agent in the democratization of AI Thanks to transfer learning, it is playing a crucial role in making AI more accessible
What Is Hugging Face? | Definition from TechTarget
Hugging Face is a machine learning and data science platform and community that helps users build, deploy and train machine learning models It provides the infrastructure to demo, run and deploy artificial intelligence ( AI ) in live applications

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