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• 20+ easy-to-use AI tools like Question Answerer, Essay Writer, AI Researcher, Writing Improver, Paraphraser, AI Image Generator, Redraw Image Tool, and more. • 2,500+ award-winning read-assist fundamental skills lessons for 1st - 4th grades ...
6) The right to ask a question passes to the answerer 7) The task of the players who know the word is to guess who the spy is. The task of the spy is to guess the location The game has paid rates: 1) Week - 7 days free, then 499₽ per week 2) Month - 699₽ per mont...
Many NLP tasks have a pre-trainedpipelineready to go. For example, we can easily extract question answers given context: >>>fromtransformersimportpipeline# Allocate a pipeline for question-answering>>>question_answerer=pipeline('question-answering')>>>question_answerer({ ...'question':'What is...
>>> from transformers import pipeline # 使用問答 pipeline >>> question_answerer = pipeline('question-answering') >>> question_answerer({ ... 'question': 'What is the name of the repository ?', ... 'context': 'Pipeline has been included in the huggingface/transformers repository' .....
• 20+ easy-to-use AI tools like Question Answerer, Essay Writer, AI Researcher, Writing Improver, Paraphraser, AI Image Generator, Redraw Image Tool, and more. • 2,500+ award-winning read-assist fundamental skills lessons for 1st - 4th grades ...
• 20+ easy-to-use AI tools like Question Answerer, Essay Writer, Writing Improver, Test Generator, AI Image Generator, Redraw Image Tool, and more. • 2,500+ award-winning read-assist lessons • 20,000+ adaptive questions to reinforce learning ...
• 20+ easy-to-use AI tools like Question Answerer, Essay Writer, AI Researcher, Writing Improver, Paraphraser, AI Image Generator, Redraw Image Tool, and more. • 2,500+ award-winning read-assist fundamental skills lessons for 1st - 4th grades ...
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Many NLP tasks have a pre-trainedpipelineready to go. For example, we can easily extract question answers given context: >>>fromtransformersimportpipeline# Allocate a pipeline for question-answering>>>question_answerer=pipeline('question-answering')>>>question_answerer({ ...'question':'What is...