FM / realm

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_realm.py	8829	0644	edit dl rm
modeling_realm.py	82350	0644	edit dl rm
retrieval_realm.py	6380	0644	edit dl rm
tokenization_realm.py	25388	0644	edit dl rm
tokenization_realm_fast.py	14292	0644	edit dl rm
__init__.py	2318	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/realm/__init__.py (2318B)

# 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 2022 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_tokenizers_available, is_torch_available

_import_structure = {
    "configuration_realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig"],
    "tokenization_realm": ["RealmTokenizer"],
}

if is_tokenizers_available():
    _import_structure["tokenization_realm_fast"] = ["RealmTokenizerFast"]

if is_torch_available():
    _import_structure["modeling_realm"] = [
        "REALM_PRETRAINED_MODEL_ARCHIVE_LIST",
        "RealmEmbedder",
        "RealmForOpenQA",
        "RealmKnowledgeAugEncoder",
        "RealmPreTrainedModel",
        "RealmReader",
        "RealmScorer",
        "load_tf_weights_in_realm",
    ]
    _import_structure["retrieval_realm"] = ["RealmRetriever"]

if TYPE_CHECKING:
    from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
    from .tokenization_realm import RealmTokenizer

if is_tokenizers_available():
        from .tokenization_realm import RealmTokenizerFast

if is_torch_available():
        from .modeling_realm import (
            REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RealmEmbedder,
            RealmForOpenQA,
            RealmKnowledgeAugEncoder,
            RealmPreTrainedModel,
            RealmReader,
            RealmScorer,
            load_tf_weights_in_realm,
        )
        from .retrieval_realm import RealmRetriever

else:
    import sys

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

# 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 2022 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_tokenizers_available, is_torch_available _import_structure = { "configuration_realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig"], "tokenization_realm": ["RealmTokenizer"], } if is_tokenizers_available(): _import_structure["tokenization_realm_fast"] = ["RealmTokenizerFast"] if is_torch_available(): _import_structure["modeling_realm"] = [ "REALM_PRETRAINED_MODEL_ARCHIVE_LIST", "RealmEmbedder", "RealmForOpenQA", "RealmKnowledgeAugEncoder", "RealmPreTrainedModel", "RealmReader", "RealmScorer", "load_tf_weights_in_realm", ] _import_structure["retrieval_realm"] = ["RealmRetriever"] if TYPE_CHECKING: from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig from .tokenization_realm import RealmTokenizer if is_tokenizers_available(): from .tokenization_realm import RealmTokenizerFast if is_torch_available(): from .modeling_realm import ( REALM_PRETRAINED_MODEL_ARCHIVE_LIST, RealmEmbedder, RealmForOpenQA, RealmKnowledgeAugEncoder, RealmPreTrainedModel, RealmReader, RealmScorer, load_tf_weights_in_realm, ) from .retrieval_realm import RealmRetriever else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)