@huggingface/tasks/dist/commonjs/tasks/table-question-answering/inference.d.ts

List of ML tasks for huggingface.co/tasks

/**
 * Inference code generated from the JSON schema spec in ./spec
 *
 * Using src/scripts/inference-codegen
 */
/**
 * Inputs for Table Question Answering inference
 */
export interface TableQuestionAnsweringInput {
    /**
     * One (table, question) pair to answer
     */
    inputs: TableQuestionAnsweringInputData;
    /**
     * Additional inference parameters for Table Question Answering
     */
    parameters?: TableQuestionAnsweringParameters;
    [property: string]: unknown;
}
/**
 * One (table, question) pair to answer
 */
export interface TableQuestionAnsweringInputData {
    /**
     * The question to be answered about the table
     */
    question: string;
    /**
     * The table to serve as context for the questions
     */
    table: {
        [key: string]: string[];
    };
    [property: string]: unknown;
}
/**
 * Additional inference parameters for Table Question Answering
 */
export interface TableQuestionAnsweringParameters {
    /**
     * Activates and controls padding.
     */
    padding?: Padding;
    /**
     * Whether to do inference sequentially or as a batch. Batching is faster, but models like
     * SQA require the inference to be done sequentially to extract relations within sequences,
     * given their conversational nature.
     */
    sequential?: boolean;
    /**
     * Activates and controls truncation.
     */
    truncation?: boolean;
    [property: string]: unknown;
}
/**
 * Activates and controls padding.
 */
export type Padding = "do_not_pad" | "longest" | "max_length";
export type TableQuestionAnsweringOutput = TableQuestionAnsweringOutputElement[];
/**
 * Outputs of inference for the Table Question Answering task
 */
export interface TableQuestionAnsweringOutputElement {
    /**
     * If the model has an aggregator, this returns the aggregator.
     */
    aggregator?: string;
    /**
     * The answer of the question given the table. If there is an aggregator, the answer will be
     * preceded by `AGGREGATOR >`.
     */
    answer: string;
    /**
     * List of strings made up of the answer cell values.
     */
    cells: string[];
    /**
     * Coordinates of the cells of the answers.
     */
    coordinates: Array<number[]>;
    [property: string]: unknown;
}
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