




'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A									=logging.get_logger(__name__)

A									={
    'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/config.json',
    'distilbert-base-uncased-distilled-squad': (
        'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'
    ),
    'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/config.json',
    'distilbert-base-cased-distilled-squad': (
        'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'
    ),
    'distilbert-base-german-cased': 'https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json',
    'distilbert-base-multilingual-cased': (
        'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'
    ),
    'distilbert-base-uncased-finetuned-sst-2-english': (
        'https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'
    ),
}


class     _a						(			__a				):
       __a       :  Dict            =      """distilbert"""
       __a       :  int            =      {
           """hidden_size""": """dim""",
           """num_attention_heads""": """n_heads""",
           """num_hidden_layers""": """n_layers""",
       }
       def __init__(			self		:			int     ,       lowercase		:			Dict=30_522     ,       lowercase		:			List[str]=512     ,       lowercase		:			Optional[int]=False     ,       lowercase		:			List[Any]=6     ,       lowercase		:			List[str]=12     ,       lowercase		:			Optional[Any]=768     ,       lowercase		:			List[str]=4 * 768     ,       lowercase		:			Optional[Any]=0.1     ,       lowercase		:			Dict=0.1     ,       lowercase		:			Tuple="gelu"     ,       lowercase		:			Dict=0.02     ,       lowercase		:			Optional[int]=0.1     ,       lowercase		:			Union[str, Any]=0.2     ,       lowercase		:			Union[str, Any]=0     ,       **lowercase		:			Optional[int]     ,       ):



           '''simple docstring'''

           UpperCAmelCase     =	vocab_size
           UpperCAmelCase     =	max_position_embeddings
           UpperCAmelCase     =	sinusoidal_pos_embds
           UpperCAmelCase     =	n_layers
           UpperCAmelCase     =	n_heads
           UpperCAmelCase     =	dim
           UpperCAmelCase     =	hidden_dim
           UpperCAmelCase     =	dropout
           UpperCAmelCase     =	attention_dropout
           UpperCAmelCase     =	activation
           UpperCAmelCase     =	initializer_range
           UpperCAmelCase     =	qa_dropout
           UpperCAmelCase     =	seq_classif_dropout
           super().__init__(**lowercase     ,       pad_token_id=lowercase       )






class     _a						(			__a				):
       @property
       def 					A   (			self		:			Optional[int]       ):



           '''simple docstring'''

           if self.task == "multiple-choice":
               UpperCAmelCase     =	{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
           else:
               UpperCAmelCase     =	{0: '''batch''', 1: '''sequence'''}
           return OrderedDict(
               [
                   ('''input_ids''', dynamic_axis),
                   ('''attention_mask''', dynamic_axis),
               ]       )










'''simple docstring'''







from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *




