Data Machines
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Models Supported by Data Machi...
NLP Models

Text Summarization

4min
this model summarizes a passage of text to a concise format additional attributes provided can help the model generate a contextual summary by considering the information in the attributes model input parameters parameter name parameter type required input text yes attributes text no rest api input example var settings = { "url" "https //mlapi qualetics com/api/datamachine/init?id=\<datamachine id>", "method" "post", "headers" { //add authorization headers here "content type" "application/json" }, "data" json stringify({ "input" "it’s back! taco bell has announced the return of the double decker taco, which is now on the menu at restaurants nationwide for a limited time " }), }; $ ajax(settings) done(function (response) { console log(response); }); model output result parameter name parameter type summarized text text rest api output example { "input" "it’s back! taco bell has announced the return of the double decker taco, which is now on the menu at restaurants nationwide for a limited time ", "original input" "it’s back! taco bell has announced the return of the double decker taco, which is now on the menu at restaurants nationwide for a limited time ", "summarized text" "taco bell has brought back the double decker taco, now available at all locations for a limited time ", "final result" "taco bell has brought back the double decker taco, now available at all locations for a limited time ", "sessionid" "e26ea21e 6bf9 4b39 9a62 617414308305", "status" "completed" } standard output parameters every model execution output consists of the following standard output parameters input the input string required for the model to extract the categories original input this is the input provided to the first step in model which is retained across multiple steps in a data machine workflow final result the result of the model executed in the final step of the data machine workflow sessionid a unique session id that is generated for every execution of a data machine which can be used to retain results across multiple sessions status the result of the data machine execution if all of the steps in a sequence are successfully executed, a value of "completed" is provided if the execution is interrupted at any point, a value of "terminated" is provided with the reason for termination