

"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


A_							:	int      =       logging.get_logger(__name__)

A_							:	Tuple      =       {
    'weiweishi/roc-bert-base-zh': 'https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json',
}





class       lowerCamelCase  (_UpperCamelCase	):
			lowerCamelCase__      :						Optional[Any]    						=							"""roc_bert"""

			def __init__(    self :  Dict			, __UpperCAmelCase :  List[Any]=3_0_5_2_2			, __UpperCAmelCase :  Dict=7_6_8			, __UpperCAmelCase :  Any=1_2			, __UpperCAmelCase :  Optional[Any]=1_2			, __UpperCAmelCase :  Optional[Any]=3_0_7_2			, __UpperCAmelCase :  Any="gelu"			, __UpperCAmelCase :  Optional[Any]=0.1			, __UpperCAmelCase :  Optional[Any]=0.1			, __UpperCAmelCase :  List[Any]=5_1_2			, __UpperCAmelCase :  Optional[int]=2			, __UpperCAmelCase :  List[Any]=0.02			, __UpperCAmelCase :  Dict=1e-12			, __UpperCAmelCase :  Dict=True			, __UpperCAmelCase :  Tuple=0			, __UpperCAmelCase :  Tuple="absolute"			, __UpperCAmelCase :  Any=None			, __UpperCAmelCase :  str=True			, __UpperCAmelCase :  Tuple=True			, __UpperCAmelCase :  str=7_6_8			, __UpperCAmelCase :  Optional[int]=9_1_0			, __UpperCAmelCase :  str=5_1_2			, __UpperCAmelCase :  Union[str, Any]=2_4_8_5_8			, __UpperCAmelCase :  Optional[int]=True			, **__UpperCAmelCase :  str			, )      ->			List[Any]:
						SCREAMING_SNAKE_CASE__									=					vocab_size
						SCREAMING_SNAKE_CASE__									=					max_position_embeddings
						SCREAMING_SNAKE_CASE__									=					hidden_size
						SCREAMING_SNAKE_CASE__									=					num_hidden_layers
						SCREAMING_SNAKE_CASE__									=					num_attention_heads
						SCREAMING_SNAKE_CASE__									=					intermediate_size
						SCREAMING_SNAKE_CASE__									=					hidden_act
						SCREAMING_SNAKE_CASE__									=					hidden_dropout_prob
						SCREAMING_SNAKE_CASE__									=					attention_probs_dropout_prob
						SCREAMING_SNAKE_CASE__									=					initializer_range
						SCREAMING_SNAKE_CASE__									=					type_vocab_size
						SCREAMING_SNAKE_CASE__									=					layer_norm_eps
						SCREAMING_SNAKE_CASE__									=					use_cache
						SCREAMING_SNAKE_CASE__									=					enable_pronunciation
						SCREAMING_SNAKE_CASE__									=					enable_shape
						SCREAMING_SNAKE_CASE__									=					pronunciation_embed_dim
						SCREAMING_SNAKE_CASE__									=					pronunciation_vocab_size
						SCREAMING_SNAKE_CASE__									=					shape_embed_dim
						SCREAMING_SNAKE_CASE__									=					shape_vocab_size
						SCREAMING_SNAKE_CASE__									=					concat_input
						SCREAMING_SNAKE_CASE__									=					position_embedding_type
						SCREAMING_SNAKE_CASE__									=					classifier_dropout
						super().__init__(pad_token_id=__lowerCamelCase			, **__lowerCamelCase				)








from . import __version__

# Backward compatibility imports, to make sure all those objects can be found in file_utils
from .utils import (
    CLOUDFRONT_DISTRIB_PREFIX,
    CONFIG_NAME,
    DISABLE_TELEMETRY,
    DUMMY_INPUTS,
    DUMMY_MASK,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    FEATURE_EXTRACTOR_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_PREFIX,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    MODEL_CARD_NAME,
    MULTIPLE_CHOICE_DUMMY_INPUTS,
    PYTORCH_PRETRAINED_BERT_CACHE,
    PYTORCH_TRANSFORMERS_CACHE,
    S3_BUCKET_PREFIX,
    SENTENCEPIECE_UNDERLINE,
    SPIECE_UNDERLINE,
    TF2_WEIGHTS_NAME,
    TF_WEIGHTS_NAME,
    TORCH_FX_REQUIRED_VERSION,
    TRANSFORMERS_CACHE,
    TRANSFORMERS_DYNAMIC_MODULE_NAME,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    WEIGHTS_INDEX_NAME,
    WEIGHTS_NAME,
    ContextManagers,
    DummyObject,
    EntryNotFoundError,
    ExplicitEnum,
    ModelOutput,
    PaddingStrategy,
    PushToHubMixin,
    RepositoryNotFoundError,
    RevisionNotFoundError,
    TensorType,
    _LazyModule,
    add_code_sample_docstrings,
    add_end_docstrings,
    add_start_docstrings,
    add_start_docstrings_to_model_forward,
    cached_property,
    copy_func,
    default_cache_path,
    define_sagemaker_information,
    get_cached_models,
    get_file_from_repo,
    get_full_repo_name,
    get_torch_version,
    has_file,
    http_user_agent,
    is_apex_available,
    is_bsa_available,
    is_coloredlogs_available,
    is_datasets_available,
    is_detectrona_available,
    is_faiss_available,
    is_flax_available,
    is_ftfy_available,
    is_in_notebook,
    is_ipex_available,
    is_librosa_available,
    is_offline_mode,
    is_onnx_available,
    is_pandas_available,
    is_phonemizer_available,
    is_protobuf_available,
    is_psutil_available,
    is_pyanvml_available,
    is_pyctcdecode_available,
    is_pytesseract_available,
    is_pytorch_quantization_available,
    is_rjieba_available,
    is_sagemaker_dp_enabled,
    is_sagemaker_mp_enabled,
    is_scipy_available,
    is_sentencepiece_available,
    is_seqio_available,
    is_sklearn_available,
    is_soundfile_availble,
    is_spacy_available,
    is_speech_available,
    is_tensor,
    is_tensorflow_probability_available,
    is_tfaonnx_available,
    is_tf_available,
    is_timm_available,
    is_tokenizers_available,
    is_torch_available,
    is_torch_bfaa_available,
    is_torch_cuda_available,
    is_torch_fx_available,
    is_torch_fx_proxy,
    is_torch_mps_available,
    is_torch_tfaa_available,
    is_torch_tpu_available,
    is_torchaudio_available,
    is_training_run_on_sagemaker,
    is_vision_available,
    replace_return_docstrings,
    requires_backends,
    to_numpy,
    to_py_obj,
    torch_only_method,
)






