3213a65d96
* Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * remove submodule * add mPLUG MiniGPT4 * Update Readme.md * Update Readme.md * Update Readme.md --------- Co-authored-by: Yuliang Liu <34134635+Yuliang-Liu@users.noreply.github.com>
78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
# Copyright 2020 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import TYPE_CHECKING
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from transformers.utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
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_import_structure = {
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"configuration_mplug_owl": ["MPLUG_OWL_PRETRAINED_CONFIG_ARCHIVE_MAP", "MplugOwlConfig"],
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"processing_mplug_owl": ["MplugOwlImageProcessor", "MplugOwlProcessor"],
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"tokenization_mplug_owl": ["MplugOwlTokenizer"],
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}
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try:
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if not is_tokenizers_available():
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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pass
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try:
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if not is_torch_available():
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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pass
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else:
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_import_structure["modeling_mplug_owl"] = [
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"MPLUG_OWL_PRETRAINED_MODEL_ARCHIVE_LIST",
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"MplugOwlForConditionalGeneration",
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"MplugOwlModel",
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]
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if TYPE_CHECKING:
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from .configuration_mplug_owl import MPLUG_OWL_PRETRAINED_CONFIG_ARCHIVE_MAP, MplugOwlConfig
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from .tokenization_mplug_owl import MplugOwlTokenizer
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try:
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if not is_tokenizers_available():
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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pass
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try:
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if not is_torch_available():
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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pass
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else:
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from .modeling_mplug_owl import (
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MPLUG_OWL_PRETRAINED_MODEL_ARCHIVE_LIST,
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MplugOwlForConditionalGeneration,
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MplugOwlModel,
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MplugOwlPreTrainedModel,
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)
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else:
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import sys
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sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
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from .configuration_mplug_owl import *
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from .modeling_mplug_owl import *
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from .processing_mplug_owl import *
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from .tokenization_mplug_owl import *
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