>:jXSSKJrJr SSKJr SSKJr SSKJr \"SS\55r g)) dataclassfield)Literal)PromptLearningConfig)PeftTypec^\rSrSr%Sr\"SSS0S9r\SS-\S'\"SSS 0S9r \ \S '\"S SS 0S9r \ \S 'U4Sjr SrU=r$)PrefixTuningConfiga This is the configuration class to store the configuration of a [`PrefixEncoder`]. Args: init_weights (`Optional[str]`): If not set, weights are initialized at random, if set to "zero" the weights are initialized so that the activations will be a no-op (zero). encoder_hidden_size (`int`): The hidden size of the prompt encoder. prefix_projection (`bool`): Whether to project the prefix embeddings. NhelpzIf not set, weights are initialized at random, if set to "zero" the weights are initialized so that the activations will be a no-op (zero).)defaultmetadatazero init_weightszThe hidden size of the encoderencoder_hidden_sizeFz$Whether to project the prefix tokensprefix_projectioncL>[TU]5 [RUlg)N)super __post_init__r PREFIX_TUNING peft_type)self __class__s ]/home/mande/repo/quber/.venv/lib/python3.13/site-packages/peft/tuners/prefix_tuning/config.pyr PrefixTuningConfig.__post_init__2s !//)r)__name__ __module__ __qualname____firstlineno____doc__rrr__annotations__rintrboolr__static_attributes__ __classcell__)rs@rr r s,1 V ,L'&/D( %:; $@At 00rr N) dataclassesrrtypingr peft.configr peft.utilsrr rrr+s/), 0-0 0r