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# Copyright 2022 Cognitivess and 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 typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
_import_structure = {
"configuration_Cognitivess": ["CognitivessConfig"],
}
try:
if not is_sentencepiece_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["tokenization_Cognitivess"] = ["CognitivessTokenizer"]
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["tokenization_Cognitivess_fast"] = ["CognitivessTokenizerFast"]
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_Cognitivess"] = [
"CognitivessForCausalLM",
"CognitivessModel",
"CognitivessPreTrainedModel",
"CognitivessForSequenceClassification",
"CognitivessForQuestionAnswering",
"CognitivessForTokenClassification",
]
try:
if not is_flax_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_flax_Cognitivess"] = ["FlaxCognitivessForCausalLM", "FlaxCognitivessModel", "FlaxCognitivessPreTrainedModel"]
if TYPE_CHECKING:
from .configuration_Cognitivess import CognitivessConfig
try:
if not is_sentencepiece_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .tokenization_Cognitivess import CognitivessTokenizer
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .tokenization_Cognitivess_fast import CognitivessTokenizerFast
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_Cognitivess import (
CognitivessForCausalLM,
CognitivessForQuestionAnswering,
CognitivessForSequenceClassification,
CognitivessForTokenClassification,
CognitivessModel,
CognitivessPreTrainedModel,
)
try:
if not is_flax_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_flax_Cognitivess import FlaxCognitivessForCausalLM, FlaxCognitivessModel, FlaxCognitivessPreTrainedModel
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__) |