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What does the output of feature-extraction pipeline represent?

See original GitHub issue

I am using the feature-extraction pipeline:

nlp_fe = pipeline('feature-extraction')
nlp_fe('there is a book on the desk')

As an output I get a list with one element - that is a list with 9 elements - that is a list of 768 features (floats). What is the output represent? What is every element of the lists, and what is the meaning of the 768 float values? Thanks

Issue Analytics

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Created 3 years ago
Comments:6

Top GitHub Comments

1reaction

allmwhcommented, May 25, 2021

The outputs between “last_hidden_state” and “feature-extraction pipeline” are same, you can try by yourself

“feature-extraction pipeline” just helps us do some jobs from tokenize words to embedding

0reactions

orko19commented, May 2, 2021

@merleyc I do not! Please share if you do 😃

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