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# coding=utf-8
# Copyright 2021 The IDEA Authors. 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 transformers.file_utils import _LazyModule, is_torch_available
_import_structure = {
"auto_factory": ["get_values"],
"configuration_auto": ["ALL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CONFIG_MAPPING", "MODEL_NAMES_MAPPING", "AutoConfig"],
"tokenization_auto": ["TOKENIZER_MAPPING", "AutoTokenizer"],
}
if is_torch_available():
_import_structure["modeling_auto"] = [
"AutoModel",
"AutoModelForMaskedLM",
"AutoModelForMultipleChoice",
"AutoModelForPreTraining",
"AutoModelForQuestionAnswering",
"AutoModelForSequenceClassification",
"AutoModelForTokenClassification",
]
if TYPE_CHECKING:
from .auto_factory import get_values
from .configuration_auto import ALL_PRETRAINED_CONFIG_ARCHIVE_MAP, CONFIG_MAPPING, MODEL_NAMES_MAPPING, AutoConfig
from .tokenization_auto import TOKENIZER_MAPPING, AutoTokenizer
if is_torch_available():
from .modeling_auto import (
AutoModel,
AutoModelForMaskedLM,
AutoModelForMultipleChoice,
AutoModelForPreTraining,
AutoModelForQuestionAnswering,
AutoModelForSequenceClassification,
AutoModelForTokenClassification,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
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