



"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


snake_case_    					=	logging.get_logger(__name__)

snake_case_    					=	{
    "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json",
    "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json",
    "junnyu/roformer_chinese_char_small": (
        "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"
    ),
    "junnyu/roformer_chinese_char_base": (
        "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"
    ),
    "junnyu/roformer_small_discriminator": (
        "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"
    ),
    "junnyu/roformer_small_generator": (
        "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}







class 				A_      (					snake_case__    ):



						"""simple docstring"""
						__UpperCamelCase		    =							"""roformer"""






						def __init__( self			:Tuple       ,  lowercase_			:List[Any]=5_00_00       ,  lowercase_			:List[str]=None       ,  lowercase_			:Optional[Any]=7_68       ,  lowercase_			:int=12       ,  lowercase_			:str=12       ,  lowercase_			:Tuple=30_72       ,  lowercase_			:List[str]="gelu"       ,  lowercase_			:List[str]=0.1       ,  lowercase_			:Optional[Any]=0.1       ,  lowercase_			:Optional[int]=15_36       ,  lowercase_			:Optional[Any]=2       ,  lowercase_			:Union[str, Any]=0.02       ,  lowercase_			:Any=1E-12       ,  lowercase_			:str=0       ,  lowercase_			:Union[str, Any]=False       ,  lowercase_			:Optional[int]=True       ,  **lowercase_			:str       ,  )    ->      Tuple:
												super().__init__(pad_token_id=UpperCAmelCase_       ,  **UpperCAmelCase_ )

												UpperCAmelCase					=			vocab_size
												UpperCAmelCase					=			hidden_size if embedding_size is None else embedding_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					=			type_vocab_size
												UpperCAmelCase					=			initializer_range
												UpperCAmelCase					=			layer_norm_eps
												UpperCAmelCase					=			rotary_value
												UpperCAmelCase					=			use_cache







class 				A_      (					snake_case__    ):



						"""simple docstring"""






						@property
						def      UpperCAmelCase__					( self			:str )    ->      Optional[int]:
												if self.task == "multiple-choice":
																		UpperCAmelCase					=			{0: "batch", 1: "choice", 2: "sequence"}
												else:
																		UpperCAmelCase					=			{0: "batch", 1: "sequence"}
												UpperCAmelCase					=			{0: "batch", 1: "sequence"}
												return OrderedDict(
												    [
												        ('input_ids', dynamic_axis),
												        ('attention_mask', dynamic_axis),
												        ('token_type_ids', dynamic_axis),
												    ] )










"""simple docstring"""


# Copyright 2023 The HuggingFace Inc. 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 ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""
						__UpperCamelCase		    =							"""philschmid/bart-large-cnn-samsum"""
						__UpperCamelCase		    =							(
						    """This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, """
						    """and returns a summary of the text."""
						)
						__UpperCamelCase		    =							"""summarizer"""
						__UpperCamelCase		    =							AutoTokenizer
						__UpperCamelCase		    =							AutoModelForSeqaSeqLM

						__UpperCamelCase		    =							["""text"""]
						__UpperCamelCase		    =							["""text"""]






						def      UpperCAmelCase__					( self			:int       ,  lowercase_			:Tuple )    ->      int:
												return self.pre_processor(lowercase_       ,  return_tensors='pt'       ,  truncation=lowercase_ )






						def      UpperCAmelCase__					( self			:Dict       ,  lowercase_			:Dict )    ->      Optional[int]:
												return self.model.generate(**lowercase_ )[0]






						def      UpperCAmelCase__					( self			:Dict       ,  lowercase_			:Tuple )    ->      List[str]:
												return self.pre_processor.decode(lowercase_       ,  skip_special_tokens=lowercase_       ,  clean_up_tokenization_spaces=lowercase_ )





