S^(hdZddlmZddlmZddlmZddlmZddl m Z e je Z Gdd eZGd d eZd d gZy ) zDistilBERT model configuration) OrderedDict)Mapping)PretrainedConfig) OnnxConfig)loggingcPeZdZdZdZddddZ dfd ZxZS) 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 ||_||_||_||_||_||_||_||_| |_| |_ | |_ | |_ | |_ t|8di|d|iy)N pad_token_id) vocab_sizemax_position_embeddingssinusoidal_pos_embdsrr r hidden_dimdropoutattention_dropout activationinitializer_range qa_dropoutseq_classif_dropoutsuper__init__)selfrrrrr r rrrrrrrrkwargs __class__s u/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/transformers/models/distilbert/configuration_distilbert.pyr zDistilBertConfig.__init__\sz$%'>$$8!   $ !2$!2$#6  =6= =)i:wiF ii 皙?r(gelug{Gz?r(g?r)__name__ __module__ __qualname____doc__ model_type attribute_mapr __classcell__)r#s@r$r r sV6 pJ('M #" >>r%r c6eZdZedeeeeefffdZy)DistilBertOnnxConfigreturncZ|jdk(rdddd}nddd}td|fd|fgS) Nzmultiple-choicebatchchoicesequence)r)rr8 input_idsattention_mask)taskr)r! dynamic_axiss r$inputszDistilBertOnnxConfig.inputssG 99) )&8 CL&:6Ll+!<0   r%N)r*r+r,propertyrstrintr>rr%r$r2r2~s.   WS#X%6 67    r%r2N)r- collectionsrtypingrconfiguration_utilsronnxrutilsr get_loggerr*loggerr r2__all__rr%r$rJsV%#3   H %_>'_>D  :   5 6r%