FM / xglm

/usr/local/lib/python3.6/site-packages/transformers/models/xglm/

/usr/local/lib/python3.6/site-packages/transformers/models/xglm

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_xglm.py	6055	0644	edit dl rm
convert_xglm_original_ckpt_to_trfms.py	2325	0644	edit dl rm
modeling_flax_xglm.py	33152	0644	edit dl rm
modeling_xglm.py	44778	0644	edit dl rm
tokenization_xglm.py	13276	0644	edit dl rm
tokenization_xglm_fast.py	8032	0644	edit dl rm
__init__.py	2360	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/xglm/__init__.py (2360B)

# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.

# 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

# rely on isort to merge the imports
from ...utils import (
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)

_import_structure = {
    "configuration_xglm": ["XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XGLMConfig"],
}

if is_sentencepiece_available():
    _import_structure["tokenization_xglm"] = ["XGLMTokenizer"]

if is_tokenizers_available():
    _import_structure["tokenization_xglm_fast"] = ["XGLMTokenizerFast"]

if is_torch_available():
    _import_structure["modeling_xglm"] = [
        "XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
        "XGLMForCausalLM",
        "XGLMModel",
        "XGLMPreTrainedModel",
    ]

if is_flax_available():
    _import_structure["modeling_flax_xglm"] = [
        "FlaxXGLMForCausalLM",
        "FlaxXGLMModel",
        "FlaxXGLMPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

if is_sentencepiece_available():
        from .tokenization_xglm import XGLMTokenizer

if is_tokenizers_available():
        from .tokenization_xglm_fast import XGLMTokenizerFast

if is_torch_available():
        from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

if is_flax_available():
        from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

else:
    import sys

sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)

# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all. # 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 # rely on isort to merge the imports from ...utils import ( _LazyModule, is_flax_available, is_sentencepiece_available, is_tokenizers_available, is_torch_available, ) _import_structure = { "configuration_xglm": ["XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XGLMConfig"], } if is_sentencepiece_available(): _import_structure["tokenization_xglm"] = ["XGLMTokenizer"] if is_tokenizers_available(): _import_structure["tokenization_xglm_fast"] = ["XGLMTokenizerFast"] if is_torch_available(): _import_structure["modeling_xglm"] = [ "XGLM_PRETRAINED_MODEL_ARCHIVE_LIST", "XGLMForCausalLM", "XGLMModel", "XGLMPreTrainedModel", ] if is_flax_available(): _import_structure["modeling_flax_xglm"] = [ "FlaxXGLMForCausalLM", "FlaxXGLMModel", "FlaxXGLMPreTrainedModel", ] if TYPE_CHECKING: from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig if is_sentencepiece_available(): from .tokenization_xglm import XGLMTokenizer if is_tokenizers_available(): from .tokenization_xglm_fast import XGLMTokenizerFast if is_torch_available(): from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel if is_flax_available(): from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)