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Running
on
Zero
File size: 2,676 Bytes
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# Copyright 2024 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,
is_vision_available,
)
_import_structure = {
"configuration_siglip": [
"SIGLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
"SiglipConfig",
"SiglipTextConfig",
"SiglipVisionConfig",
],
"processing_siglip": ["SiglipProcessor"],
"tokenization_siglip": ["SiglipTokenizer"],
}
try:
if not is_vision_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["image_processing_siglip"] = ["SiglipImageProcessor"]
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_siglip"] = [
"SIGLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
"SiglipModel",
"SiglipPreTrainedModel",
"SiglipTextModel",
"SiglipVisionModel",
]
if TYPE_CHECKING:
from .configuration_siglip import (
SIGLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
SiglipConfig,
SiglipTextConfig,
SiglipVisionConfig,
)
from .processing_siglip import SiglipProcessor
from .tokenization_siglip import SiglipTokenizer
try:
if not is_vision_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .image_processing_siglip import SiglipImageProcessor
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_siglip import (
SIGLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
SiglipModel,
SiglipPreTrainedModel,
SiglipTextModel,
SiglipVisionModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
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