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Add model code supports
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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_husky": [
"HUSKY_PRETRAINED_CONFIG_ARCHIVE_MAP",
"HuskyConfig",
"HuskyQFormerConfig",
"HuskyVisionConfig",
],
"processing_husky": ["HuskyProcessor"],
}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_husky"] = [
"HUSKY_PRETRAINED_MODEL_ARCHIVE_LIST",
"HuskyModel",
"HuskyQFormerModel",
"HuskyPreTrainedModel",
"HuskyForConditionalGeneration",
"HuskyVisionModel",
]
if TYPE_CHECKING:
from .configuration_husky import (
HUSKY_PRETRAINED_CONFIG_ARCHIVE_MAP,
HuskyConfig,
HuskyVisionConfig,
HuskyQFormerConfig
)
from .processing_husky import HuskyProcessor
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_husky import (
HUSKY_PRETRAINED_MODEL_ARCHIVE_LIST,
HuskyForConditionalGeneration,
HuskyModel,
HuskyPreTrainedModel,
HuskyQFormerModel,
HuskyVisionModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)