






from ...configuration_utils import PretrainedConfig





class __lowerCamelCase (      snake_case__):





	"""simple docstring"""






	UpperCamelCase__								=      "bert-generation"

	def __init__(							self       ,    UpperCAmelCase=5_0358       ,    UpperCAmelCase=1024       ,    UpperCAmelCase=24       ,    UpperCAmelCase=16       ,    UpperCAmelCase=4096       ,    UpperCAmelCase="gelu"       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=512       ,    UpperCAmelCase=0.02       ,    UpperCAmelCase=1e-12       ,    UpperCAmelCase=0       ,    UpperCAmelCase=2       ,    UpperCAmelCase=1       ,    UpperCAmelCase="absolute"       ,    UpperCAmelCase=True       ,    **UpperCAmelCase       ,    ):
							"""simple docstring"""







							super().__init__(pad_token_id=UpperCAmelCase       ,    bos_token_id=UpperCAmelCase       ,    eos_token_id=UpperCAmelCase       ,    **UpperCAmelCase    )

							_UpperCAmelCase									=			vocab_size
							_UpperCAmelCase									=			hidden_size
							_UpperCAmelCase									=			num_hidden_layers
							_UpperCAmelCase									=			num_attention_heads
							_UpperCAmelCase									=			hidden_act
							_UpperCAmelCase									=			intermediate_size
							_UpperCAmelCase									=			hidden_dropout_prob
							_UpperCAmelCase									=			attention_probs_dropout_prob
							_UpperCAmelCase									=			max_position_embeddings
							_UpperCAmelCase									=			initializer_range
							_UpperCAmelCase									=			layer_norm_eps
							_UpperCAmelCase									=			position_embedding_type
							_UpperCAmelCase									=			use_cache








# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a		:       Union[str, Any]			     = {"configuration_timm_backbone": ["TimmBackboneConfig"]}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:       Tuple			     = ["TimmBackbone"]


if TYPE_CHECKING:
       from .configuration_timm_backbone import TimmBackboneConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_timm_backbone import TimmBackbone

else:
       import sys

       a		:       List[Any]			     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


