bart-large-cnn.md

model	task_type	model_display_name	layout	weight	title	json_schema
id source name description task tags properties 19bd38eb-bcda-4e53-bec2-704b4689b43a 1 @cf/facebook/bart-large-cnn BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. You can use this model for text summarization. id name description 6f4e65d8-da0f-40d2-9aa4-db582a5a04fd 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. property_id value beta true	summarization	bart-large-cnn	model	0	bart-large-cnn	input output { "type": "object", "properties": { "input_text": { "type": "string", "minLength": 1 }, "max_length": { "type": "integer", "default": 1024 } }, "required": [ "input_text" ] } { "type": "object", "contentType": "application/json", "properties": { "summary": { "type": "string" } } }