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Here the answer is "positive" with a confidence of 99.97%. Many NLP tasks have a pre-trained pipeline ready to go. For example, we can easily extract question answers given context: >>> from transformers import pipeline # Allocate a pipeline for question-answering >>> question_answerer = ...
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' .....
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Answerer 1 Hi Itai,“我的最好朋友 (wǒ zuì hǎo de péngyou)” means “my best friend”in English, but we’d like to say “我最好的朋友(wǒ zuì hǎo de péngyou)My best friend” 我(wǒ) = I, My最好的 (zuì hǎo de) = best朋友(péngyou) = friend“nǐ ài nǐ le,” I ...
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...