ZjdSrSSKJr SSKJr SSKJr \"SS9\"SS \555rS /rg ) zELECTRA model configuration)strict)PreTrainedConfig)auto_docstringz"google/electra-small-discriminator) checkpointc\rSrSr%SrSrSr\\S'Sr \\S'Sr \\S 'S r \\S 'S r \\S 'Sr \\S'Sr\\S'Sr\\-\S'Sr\\-\S'Sr\\S'Sr\\S'Sr\\S'Sr\\S'Sr\\S'Sr\\S 'Sr\\S!'Sr\\-\S"'S#r\S$-\S%'Sr\\S&'S$r\\-S$-\S''S(r\\S)'S(r \\S*'S$r!\S$-\S+'S$r"\\#\-S$-\S,'Sr$\\S-'S.r%g$)/ ElectraConfiga summary_type (`str`, *optional*, defaults to `"first"`): Argument used when doing sequence summary. Used in the sequence classification and multiple choice models. Has to be one of the following options: - `"last"`: Take the last token hidden state (like XLNet). - `"first"`: Take the first token hidden state (like BERT). - `"mean"`: Take the mean of all tokens hidden states. - `"cls_index"`: Supply a Tensor of classification token position (like GPT/GPT-2). - `"attn"`: Not implemented now, use multi-head attention. summary_use_proj (`bool`, *optional*, defaults to `True`): Argument used when doing sequence summary. Used in the sequence classification and multiple choice models. Whether or not to add a projection after the vector extraction. summary_activation (`str`, *optional*): Argument used when doing sequence summary. Used in the sequence classification and multiple choice models. Pass `"gelu"` for a gelu activation to the output, any other value will result in no activation. summary_last_dropout (`float`, *optional*, defaults to 0.0): Argument used when doing sequence summary. Used in the sequence classification and multiple choice models. The dropout ratio to be used after the projection and activation. Examples: ```python >>> from transformers import ElectraConfig, ElectraModel >>> # Initializing a ELECTRA electra-base-uncased style configuration >>> configuration = ElectraConfig() >>> # Initializing a model (with random weights) from the electra-base-uncased style configuration >>> model = ElectraModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```electrai:w vocab_sizeembedding_size hidden_size num_hidden_layersnum_attention_headsiintermediate_sizegelu hidden_actg?hidden_dropout_probattention_probs_dropout_probimax_position_embeddingstype_vocab_sizeg{Gz?initializer_rangeg-q=layer_norm_epsfirst summary_typeTsummary_use_projsummary_activationsummary_last_dropoutrN pad_token_id use_cacheclassifier_dropoutF is_decoderadd_cross_attention bos_token_id eos_token_idtie_word_embeddings)&__name__ __module__ __qualname____firstlineno____doc__ model_typer int__annotations__rrrrrrstrrfloatrrrrrr r!boolr"r#r$r%r&r'r(r)r*listr+__static_attributes__r,ڂ/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/electra/configuration_electra.pyr r s@  DJJNCKs  !s!J'**03 %#+3#&S&OS#u#!NE!L#!d!$$(+%#++ L#* It-1 d*1J %%#L#*#+/L#S /D(/ $$r:r N) r1huggingface_hub.dataclassesrconfiguration_utilsrutilsrr __all__r,r:r;r@sI".3#?@=%$=%A=%@  r: