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# Copyright 2020 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_sentencepiece_available, | |
is_tf_available, | |
is_tokenizers_available, | |
is_torch_available, | |
) | |
_import_structure = { | |
"configuration_camembert": ["CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CamembertConfig", "CamembertOnnxConfig"], | |
} | |
try: | |
if not is_sentencepiece_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["tokenization_camembert"] = ["CamembertTokenizer"] | |
try: | |
if not is_tokenizers_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["tokenization_camembert_fast"] = ["CamembertTokenizerFast"] | |
try: | |
if not is_torch_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["modeling_camembert"] = [ | |
"CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST", | |
"CamembertForCausalLM", | |
"CamembertForMaskedLM", | |
"CamembertForMultipleChoice", | |
"CamembertForQuestionAnswering", | |
"CamembertForSequenceClassification", | |
"CamembertForTokenClassification", | |
"CamembertModel", | |
"CamembertPreTrainedModel", | |
] | |
try: | |
if not is_tf_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["modeling_tf_camembert"] = [ | |
"TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST", | |
"TFCamembertForCausalLM", | |
"TFCamembertForMaskedLM", | |
"TFCamembertForMultipleChoice", | |
"TFCamembertForQuestionAnswering", | |
"TFCamembertForSequenceClassification", | |
"TFCamembertForTokenClassification", | |
"TFCamembertModel", | |
"TFCamembertPreTrainedModel", | |
] | |
if TYPE_CHECKING: | |
from .configuration_camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig, CamembertOnnxConfig | |
try: | |
if not is_sentencepiece_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .tokenization_camembert import CamembertTokenizer | |
try: | |
if not is_tokenizers_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .tokenization_camembert_fast import CamembertTokenizerFast | |
try: | |
if not is_torch_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .modeling_camembert import ( | |
CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST, | |
CamembertForCausalLM, | |
CamembertForMaskedLM, | |
CamembertForMultipleChoice, | |
CamembertForQuestionAnswering, | |
CamembertForSequenceClassification, | |
CamembertForTokenClassification, | |
CamembertModel, | |
CamembertPreTrainedModel, | |
) | |
try: | |
if not is_tf_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .modeling_tf_camembert import ( | |
TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST, | |
TFCamembertForCausalLM, | |
TFCamembertForMaskedLM, | |
TFCamembertForMultipleChoice, | |
TFCamembertForQuestionAnswering, | |
TFCamembertForSequenceClassification, | |
TFCamembertForTokenClassification, | |
TFCamembertModel, | |
TFCamembertPreTrainedModel, | |
) | |
else: | |
import sys | |
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__) | |