FM / xlm_prophetnet

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_xlm_prophetnet.py	1242	0644	edit dl rm
modeling_xlm_prophetnet.py	7169	0644	edit dl rm
tokenization_xlm_prophetnet.py	13883	0644	edit dl rm
__init__.py	2199	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/xlm_prophetnet/__init__.py (2199B)

# 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

from ...utils import _LazyModule, is_sentencepiece_available, is_torch_available

_import_structure = {
    "configuration_xlm_prophetnet": [
        "XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XLMProphetNetConfig",
    ],
}

if is_sentencepiece_available():
    _import_structure["tokenization_xlm_prophetnet"] = ["XLMProphetNetTokenizer"]

if is_torch_available():
    _import_structure["modeling_xlm_prophetnet"] = [
        "XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
        "XLMProphetNetDecoder",
        "XLMProphetNetEncoder",
        "XLMProphetNetForCausalLM",
        "XLMProphetNetForConditionalGeneration",
        "XLMProphetNetModel",
    ]

if TYPE_CHECKING:
    from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

if is_sentencepiece_available():
        from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

if is_torch_available():
        from .modeling_xlm_prophetnet import (
            XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMProphetNetDecoder,
            XLMProphetNetEncoder,
            XLMProphetNetForCausalLM,
            XLMProphetNetForConditionalGeneration,
            XLMProphetNetModel,
        )

else:
    import sys

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

cmd: