

Now that we have the model loaded via the pipeline, let's explore how you can use prompts to solve NLP tasks.
Text classification
One of the most common forms of text classification is sentiment analysis, which assigns a label like "positive", "negative", 
or "neutral" to a sequence of text. Let's write a prompt that instructs the model to classify a given text (a movie review). 
We'll start by giving the instruction, and then specifying the text to classify. Note that instead of leaving it at that, we're 
also adding the beginning of the response - "Sentiment: ":
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