Average Model Cost: $0.0000
Number of Runs: 49,372
Models by this creator
The albert_chinese_small model is a language model trained on Chinese text. It is designed to fill in missing words in a sentence, a task known as fill-mask. The model can be used to predict the most likely word to fill in the blank given the context of the sentence. It is particularly useful for completing sentences or generating text where some words are missing.
The bart-eqg-question-generator is a language model trained by Facebook AI. It is based on the BART architecture and is designed to generate questions for the task of Extractive Question Generation (EQG). EQG involves generating questions from a given passage of text, where the answers to the questions can be found within the passage. This model can be used to automatically generate questions for various applications such as question answering systems, educational tools, and language understanding tasks.