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@huggingface/inference

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Typescript client for the Hugging Face Inference Providers and Inference Endpoints

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import type { BaseArgs, Options } from "../../types"; export type TabularClassificationArgs = BaseArgs & { inputs: { /** * A table of data represented as a dict of list where entries are headers and the lists are all the values, all lists must have the same size. */ data: Record<string, string[]>; }; }; /** * A list of predicted labels for each row */ export type TabularClassificationOutput = number[]; /** * Predicts target label for a given set of features in tabular form. * Typically, you will want to train a classification model on your training data and use it with your new data of the same format. * Example model: vvmnnnkv/wine-quality */ export declare function tabularClassification(args: TabularClassificationArgs, options?: Options): Promise<TabularClassificationOutput>; //# sourceMappingURL=tabularClassification.d.ts.map