





"""simple docstring"""






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


lowerCAmelCase_			=							logging.get_logger(__name__)

lowerCAmelCase_			=							{
    '''google/realm-cc-news-pretrained-embedder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-encoder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-scorer''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-openqa''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json'''
    ),
    '''google/realm-orqa-nq-openqa''': '''https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-nq-reader''': '''https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json''',
    '''google/realm-orqa-wq-openqa''': '''https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-wq-reader''': '''https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json''',
    # See all REALM models at https://huggingface.co/models?filter=realm
}



class 	lowerCAmelCase					(      snake_case							):
       lowerCAmelCase__						 =  """realm"""






       def __init__(   self    ,  a__=3_05_22    ,  a__=7_68    ,  a__=1_28    ,  a__=12    ,  a__=12    ,  a__=8    ,  a__=30_72    ,  a__="gelu_new"    ,  a__=0.1    ,  a__=0.1    ,  a__=5_12    ,  a__=2    ,  a__=0.02    ,  a__=1E-12    ,  a__=2_56    ,  a__=10    ,  a__=1E-3    ,  a__=5    ,  a__=3_20    ,  a__=13_35_37_18    ,  a__=50_00    ,  a__=1    ,  a__=0    ,  a__=2    ,  **a__    ,  ):
              super().__init__(pad_token_id=a__    ,  bos_token_id=a__    ,  eos_token_id=a__    ,  **a__     )

              # Common config
              _UpperCAmelCase     =     vocab_size
              _UpperCAmelCase     =     max_position_embeddings
              _UpperCAmelCase     =     hidden_size
              _UpperCAmelCase     =     retriever_proj_size
              _UpperCAmelCase     =     num_hidden_layers
              _UpperCAmelCase     =     num_attention_heads
              _UpperCAmelCase     =     num_candidates
              _UpperCAmelCase     =     intermediate_size
              _UpperCAmelCase     =     hidden_act
              _UpperCAmelCase     =     hidden_dropout_prob
              _UpperCAmelCase     =     attention_probs_dropout_prob
              _UpperCAmelCase     =     initializer_range
              _UpperCAmelCase     =     type_vocab_size
              _UpperCAmelCase     =     layer_norm_eps

              # Reader config
              _UpperCAmelCase     =     span_hidden_size
              _UpperCAmelCase     =     max_span_width
              _UpperCAmelCase     =     reader_layer_norm_eps
              _UpperCAmelCase     =     reader_beam_size
              _UpperCAmelCase     =     reader_seq_len

              # Retrieval config
              _UpperCAmelCase     =     num_block_records
              _UpperCAmelCase     =     searcher_beam_size













"""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 	lowerCAmelCase					(      snake_case							):
       lowerCAmelCase__						 =  """philschmid/bart-large-cnn-samsum"""
       lowerCAmelCase__						 =  (
           """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."""
       )
       lowerCAmelCase__						 =  """summarizer"""
       lowerCAmelCase__						 =  AutoTokenizer
       lowerCAmelCase__						 =  AutoModelForSeqaSeqLM

       lowerCAmelCase__						 =  ["""text"""]
       lowerCAmelCase__						 =  ["""text"""]






       def 							__A (   self    ,  a__     ):
              return self.pre_processor(a__    ,  return_tensors='pt'    ,  truncation=a__     )






       def 							__A (   self    ,  a__     ):
              return self.model.generate(**a__     )[0]






       def 							__A (   self    ,  a__     ):
              return self.pre_processor.decode(a__    ,  skip_special_tokens=a__    ,  clean_up_tokenization_spaces=a__     )






