add readme (#10)

* 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

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* 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>
This commit is contained in:
lz
2023-06-01 09:57:03 +08:00
committed by GitHub
parent 64f7eb334d
commit 3213a65d96
275 changed files with 16059 additions and 6 deletions

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# Copyright 2020 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_tokenizers_available, is_torch_available
_import_structure = {
"configuration_mplug_owl": ["MPLUG_OWL_PRETRAINED_CONFIG_ARCHIVE_MAP", "MplugOwlConfig"],
"processing_mplug_owl": ["MplugOwlImageProcessor", "MplugOwlProcessor"],
"tokenization_mplug_owl": ["MplugOwlTokenizer"],
}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_mplug_owl"] = [
"MPLUG_OWL_PRETRAINED_MODEL_ARCHIVE_LIST",
"MplugOwlForConditionalGeneration",
"MplugOwlModel",
]
if TYPE_CHECKING:
from .configuration_mplug_owl import MPLUG_OWL_PRETRAINED_CONFIG_ARCHIVE_MAP, MplugOwlConfig
from .tokenization_mplug_owl import MplugOwlTokenizer
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_mplug_owl import (
MPLUG_OWL_PRETRAINED_MODEL_ARCHIVE_LIST,
MplugOwlForConditionalGeneration,
MplugOwlModel,
MplugOwlPreTrainedModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
from .configuration_mplug_owl import *
from .modeling_mplug_owl import *
from .processing_mplug_owl import *
from .tokenization_mplug_owl import *