The meaning of OFFICIAL is one who holds or is invested with an office : officer. How to use official in a sentence.
There are three meanings listed in OED's entry for the noun official, one of which is labelled obsolete. See ‘Meaning & use’ for definitions, usage, and quotation evidence.
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OFFICIAL definition: 1. relating to a position of responsibility: 2. agreed to or arranged by people in positions of…. Learn more.
- a person appointed or elected to an office or charged with certain duties. 2. of or pertaining to an office or position of duty, trust, or authority: official powers. 3. appointed, authorized, or approved by a government or organization. 4. holding office. 5. public and formal; ceremonial.
Definition of official adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
of or relating to an office or to a position of duty, trust, or authority:[before a noun] official powers. appointed, authorized, recognized, or approved by a government or organization: an official flag.
If something is official, it's authorized and approved by somebody. If Gatorade is the official drink of the Olympics, somebody with authority has signed some papers and a deal has been made.
Noun official (plural officials) An office holder, a person holding an official position in government, sports, or other organization.
Official means approved by the government or by someone in authority. According to the official figures, over one thousand people died during the revolution. An official announcement is expected in the next few days. A report in the official police newspaper gave no reason for the move.
As expected, our pretrained model adapted its knowledge to the corpus we fine-tuned it on, and instead of leaving the English word “threads” alone, it now translates it to the French official version.
The Hugging Face Hub –- our main website –- is a central platform that enables anyone to discover, use, and contribute new state-of-the-art models and datasets. It hosts a wide variety of models, with more than 10,000 publicly available. We’ll focus on the models in this chapter, and take a look at the datasets in Chapter 5.
We encourage all users that train models to contribute by sharing them with the community — sharing models, even when trained on very specific datasets, will help others, saving them time and compute resources and providing access to useful trained artifacts. In turn, you can benefit from the work that others have done!
Encoder models use only the encoder of a Transformer model. At each stage, the attention layers can access all the words in the initial sentence. These models are often characterized as having “bi-directional” attention, and are often called auto-encoding models.
Transformers are everywhere! Transformer models are used to solve all kinds of NLP tasks, like the ones mentioned in the previous section. Here are some of the companies and organizations using Hugging Face and Transformer models, who also contribute back to the community by sharing their models: The 🤗 Transformers library provides the functionality to create and use those shared models ...