fThSrSSKJr SSKJr SSKJr SSKJr SSK J r \ R"\ 5r "SS \5r"S S \5rS S /rg ) zDistilBERT model configuration) OrderedDict)Mapping)PretrainedConfig) OnnxConfig)loggingc\^\rSrSrSrSrSSSS.rS U4SjjrS rU=r $) DistilBertConfiga] This is the configuration class to store the configuration of a [`DistilBertModel`] or a [`TFDistilBertModel`]. It is used to instantiate a DistilBERT model according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of the DistilBERT [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: vocab_size (`int`, *optional*, defaults to 30522): Vocabulary size of the DistilBERT model. Defines the number of different tokens that can be represented by the `inputs_ids` passed when calling [`DistilBertModel`] or [`TFDistilBertModel`]. max_position_embeddings (`int`, *optional*, defaults to 512): The maximum sequence length that this model might ever be used with. Typically set this to something large just in case (e.g., 512 or 1024 or 2048). sinusoidal_pos_embds (`boolean`, *optional*, defaults to `False`): Whether to use sinusoidal positional embeddings. n_layers (`int`, *optional*, defaults to 6): Number of hidden layers in the Transformer encoder. n_heads (`int`, *optional*, defaults to 12): Number of attention heads for each attention layer in the Transformer encoder. dim (`int`, *optional*, defaults to 768): Dimensionality of the encoder layers and the pooler layer. hidden_dim (`int`, *optional*, defaults to 3072): The size of the "intermediate" (often named feed-forward) layer in the Transformer encoder. dropout (`float`, *optional*, defaults to 0.1): The dropout probability for all fully connected layers in the embeddings, encoder, and pooler. attention_dropout (`float`, *optional*, defaults to 0.1): The dropout ratio for the attention probabilities. activation (`str` or `Callable`, *optional*, defaults to `"gelu"`): The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`, `"relu"`, `"silu"` and `"gelu_new"` are supported. initializer_range (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. qa_dropout (`float`, *optional*, defaults to 0.1): The dropout probabilities used in the question answering model [`DistilBertForQuestionAnswering`]. seq_classif_dropout (`float`, *optional*, defaults to 0.2): The dropout probabilities used in the sequence classification and the multiple choice model [`DistilBertForSequenceClassification`]. Examples: ```python >>> from transformers import DistilBertConfig, DistilBertModel >>> # Initializing a DistilBERT configuration >>> configuration = DistilBertConfig() >>> # Initializing a model (with random weights) from the configuration >>> model = DistilBertModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` distilbertdimn_headsn_layers) hidden_sizenum_attention_headsnum_hidden_layersc >XlX lX0lX@lXPlX`lXplXlXlXl Xl Xl Xl [TU]8"S0UDSU0D6 g)N pad_token_id) vocab_sizemax_position_embeddingssinusoidal_pos_embdsrrr hidden_dimdropoutattention_dropout activationinitializer_range qa_dropoutseq_classif_dropoutsuper__init__)selfrrrrrr rrrrrrrrkwargs __class__s o/var/www/auris/envauris/lib/python3.13/site-packages/transformers/models/distilbert/configuration_distilbert.pyr!DistilBertConfig.__init__\s`$%'>$$8!  $ !2$!2$#6  =6= =) rrr rrrrrrrrrr)i:wiF ii 皙?r*gelug{Gz?r*g?r) __name__ __module__ __qualname____firstlineno____doc__ model_type attribute_mapr!__static_attributes__ __classcell__)r$s@r%r r sV6 pJ('M #" >>r'r c@\rSrSr\S\\\\\444Sj5rSr g)DistilBertOnnxConfig~returnc\URS:XaSSSS.nOSSS.n[SU4SU4/5$) Nzmultiple-choicebatchchoicesequence)r)rr= input_idsattention_mask)taskr)r" dynamic_axiss r%inputsDistilBertOnnxConfig.inputssG 99) )&8 CL&:6Ll+!<0   r'rN) r,r-r.r/propertyrstrintrCr3rr'r%r6r6~s.   WS#X%6 67    r'r6N)r0 collectionsrtypingrconfiguration_utilsronnxrutilsr get_loggerr,loggerr r6__all__rr'r%rPsT%#3   H %_>'_>D  :   5 6r'