The code imports the `pipeline` module from the Transformers library...

March 28, 2023 at 09:14 PM

from transformers import pipeline # Allocate a pipeline for sentiment-analysis pipe = pipeline('sentiment-analysis') out = pipe('I love transformers!') # [{'label': 'POSITIVE', 'score': 0.999806941}]

The code imports the pipeline module from the Transformers library and creates a pipeline object for sentiment-analysis. The pipe variable is assigned to this pipeline object.

Then, the pipeline is used to analyze the sentiment of the input text "I love transformers!" by passing it as an argument to the pipe function. The output of the pipeline is a list of dictionaries, where each dictionary contains a label indicating the sentiment of the input text ("POSITIVE" in this case) and a score representing the confidence level of the prediction (0.999806941 in this case).

Generate your own explanations
Download our vscode extension
Read other generated explanations

Built by @thebuilderjr
Sponsored by beam analytics
Read our terms and privacy policy
Forked from openai-quickstart-node