Summarization

Summarization is the task of producing a shorter version of a document while preserving its important information. Some models can extract text from the original input, while other models can generate entirely new text.

For more details about the summarization task, check out its dedicated page! You will find examples and related materials.

Recommended models

Explore all available models and find the one that suits you best here.

Using the API

There are currently no snippet examples for the summarization task, as no providers support it yet.

API specification

Request

Headers
authorization	string	Authentication header in the form `'Bearer: hf_**'` when `hf_**` is a personal user access token with “Inference Providers” permission. You can generate one from your settings page.

Payload
inputs*	string	The input text to summarize.
parameters	object
clean_up_tokenization_spaces	boolean	Whether to clean up the potential extra spaces in the text output.
truncation	enum	Possible values: do_not_truncate, longest_first, only_first, only_second.
generate_parameters	object	Additional parametrization of the text generation algorithm.

Response

Body
summary_text	string	The summarized text.