Zhibin Lu
init stracture, add safe model
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# 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 transformers.utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
_import_structure = {
"configuration_vgcn_bert": [
"VGCNBERT_PRETRAINED_CONFIG_ARCHIVE_MAP",
"VGCNBertConfig",
"VGCNBertOnnxConfig",
],
}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_vgcn_bert"] = [
"VGCNBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
"VGCNBertForMaskedLM",
"VGCNBertForMultipleChoice",
"VGCNBertForQuestionAnswering",
"VGCNBertForSequenceClassification",
"VGCNBertForTokenClassification",
"VGCNBertModel",
"VGCNBertPreTrainedModel",
]
if TYPE_CHECKING:
from .configuration_vgcn_bert import (
VGCNBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
VGCNBertConfig,
VGCNBertOnnxConfig,
)
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_vgcn_bert import (
VGCNBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
VGCNBertForMaskedLM,
VGCNBertForMultipleChoice,
VGCNBertForQuestionAnswering,
VGCNBertForSequenceClassification,
VGCNBertForTokenClassification,
VGCNBertModel,
VGCNBertPreTrainedModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)