transformers-fork
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TypeScript
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[];
};
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