Question Natural Language Inference

Another task under the text classification umbrella is Question Natural Language Inference, or QNLI. This checks if a premise contains enough information to answer a posed question, determining whether the answer can be found in the given text.

Performing different tasks with the text-classification pipeline can be done by choosing different models. Each model is trained to predict specific labels and optimized for learning different context within a text.

pipeline from the transformers library is already loaded for you.

Create a text classification QNLI pipeline using the model "cross-encoder/qnli-electra-base" and save as classifier.
Use this classifier to determine if the text provides enough information to answer the question.

Exercise

Question Natural Language Inference

Instructions

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Instructions

Exercise