Spaces:
BAAI
/
Running on L40S

Emu3 / emu3 /tokenizer /__init__.py
akhaliq's picture
akhaliq HF staff
Upload folder using huggingface_hub
261b6ba verified
raw
history blame
2.09 kB
# Copyright 2024 BAAI 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 transformers.utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_vision_available,
)
_import_structure = {"configuration_emu3visionvq": ["Emu3VisionVQConfig"]}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_emu3visionvq"] = [
"Emu3VisionVQModel",
"Emu3VisionVQPretrainedModel",
]
try:
if not is_vision_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["image_processing_emu3visionvq"] = ["Emu3VisionVQImageProcessor"]
if TYPE_CHECKING:
from .configuration_emu3visionvq import Emu3VisionVQConfig
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_emu3visionvq import (
Emu3VisionVQModel,
Emu3VisionVQPretrainedModel,
)
try:
if not is_vision_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .image_processing_emu3visionvq import Emu3VisionVQImageProcessor
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)