/**
 * Inference code generated from the JSON schema spec in ./spec
 *
 * Using src/scripts/inference-codegen
 */
/**
 * Inputs for Zero Shot Classification inference
 */
export interface ZeroShotClassificationInput {
	/**
	 * The text to classify
	 */
	inputs: string;
	/**
	 * Additional inference parameters for Zero Shot Classification
	 */
	parameters: ZeroShotClassificationParameters;
	[property: string]: unknown;
}
/**
 * Additional inference parameters for Zero Shot Classification
 */
export interface ZeroShotClassificationParameters {
	/**
	 * The set of possible class labels to classify the text into.
	 */
	candidate_labels: string[];
	/**
	 * The sentence used in conjunction with `candidate_labels` to attempt the text
	 * classification by replacing the placeholder with the candidate labels.
	 */
	hypothesis_template?: string;
	/**
	 * Whether multiple candidate labels can be true. If false, the scores are normalized such
	 * that the sum of the label likelihoods for each sequence is 1. If true, the labels are
	 * considered independent and probabilities are normalized for each candidate.
	 */
	multi_label?: boolean;
	[property: string]: unknown;
}
export type ZeroShotClassificationOutput = ZeroShotClassificationOutputElement[];
/**
 * Outputs of inference for the Zero Shot Classification task
 */
export interface ZeroShotClassificationOutputElement {
	/**
	 * The predicted class label.
	 */
	label: string;
	/**
	 * The corresponding probability.
	 */
	score: number;
	[property: string]: unknown;
}