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type GenerationFunctionParameters = { /** * (`Tensor` of varying shape depending on the modality, *optional*): * The sequence used as a prompt for the generation or as model inputs to the encoder. If `null` the * method initializes it with `bos_token_id` and a batch size of 1. For decoder-only models `inputs` * should be in the format of `input_ids`. For encoder-decoder models *inputs* can represent any of * `input_ids`, `input_values`, `input_features`, or `pixel_values`. */ inputs?: import("../utils/tensor.js").Tensor; /** * (`GenerationConfig`, *optional*): * The generation configuration to be used as base parametrization for the generation call. * `**kwargs` passed to generate matching the attributes of `generation_config` will override them. * If `generation_config` is not provided, the default will be used, which has the following loading * priority: * - (1) from the `generation_config.json` model file, if it exists; * - (2) from the model configuration. Please note that unspecified parameters will inherit [`GenerationConfig`]'s * default values, whose documentation should be checked to parameterize generation. */ generation_config?: import("./configuration_utils.js").GenerationConfig; /** * (`LogitsProcessorList`, *optional*): * Custom logits processors that complement the default logits processors built from arguments and * generation config. If a logit processor is passed that is already created with the arguments or a * generation config an error is thrown. This feature is intended for advanced users. */ logits_processor?: import("./logits_process.js").LogitsProcessorList; /** * (`StoppingCriteriaList`, *optional*): * Custom stopping criteria that complements the default stopping criteria built from arguments and a * generation config. If a stopping criteria is passed that is already created with the arguments or a * generation config an error is thrown. This feature is intended for advanced users. */ stopping_criteria?: import("./stopping_criteria.js").StoppingCriteriaList; /** * (`BaseStreamer`, *optional*): * Streamer object that will be used to stream the generated sequences. Generated tokens are passed * through `streamer.put(token_ids)` and the streamer is responsible for any further processing. */ streamer?: import("./streamers.js").BaseStreamer; /** * (`number[]`, *optional*): * If the model is an encoder-decoder model, this argument is used to pass the `decoder_input_ids`. */ decoder_input_ids?: number[]; }; //# sourceMappingURL=parameters.d.ts.map