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@huggingface/tasks

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/** * Inference code generated from the JSON schema spec in ./spec * * Using src/scripts/inference-codegen */ /** * Inputs for Question Answering inference */ export interface QuestionAnsweringInput { /** * One (context, question) pair to answer */ inputs: QuestionAnsweringInputData; /** * Additional inference parameters for Question Answering */ parameters?: QuestionAnsweringParameters; [property: string]: unknown; } /** * One (context, question) pair to answer */ export interface QuestionAnsweringInputData { /** * The context to be used for answering the question */ context: string; /** * The question to be answered */ question: string; [property: string]: unknown; } /** * Additional inference parameters for Question Answering */ export interface QuestionAnsweringParameters { /** * Attempts to align the answer to real words. Improves quality on space separated * languages. Might hurt on non-space-separated languages (like Japanese or Chinese) */ align_to_words?: boolean; /** * If the context is too long to fit with the question for the model, it will be split in * several chunks with some overlap. This argument controls the size of that overlap. */ doc_stride?: number; /** * Whether to accept impossible as an answer. */ handle_impossible_answer?: boolean; /** * The maximum length of predicted answers (e.g., only answers with a shorter length are * considered). */ max_answer_len?: number; /** * The maximum length of the question after tokenization. It will be truncated if needed. */ max_question_len?: number; /** * The maximum length of the total sentence (context + question) in tokens of each chunk * passed to the model. The context will be split in several chunks (using docStride as * overlap) if needed. */ max_seq_len?: number; /** * The number of answers to return (will be chosen by order of likelihood). Note that we * return less than topk answers if there are not enough options available within the * context. */ top_k?: number; [property: string]: unknown; } export type QuestionAnsweringOutput = QuestionAnsweringOutputElement[]; /** * Outputs of inference for the Question Answering task */ export interface QuestionAnsweringOutputElement { /** * The answer to the question. */ answer: string; /** * The character position in the input where the answer ends. */ end: number; /** * The probability associated to the answer. */ score: number; /** * The character position in the input where the answer begins. */ start: number; [property: string]: unknown; }