Delete __init__.py

__init__.py

@@ -1,61 +0,0 @@
-# coding=utf-8
-# Copyright 2024 weblab. 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_torch_available,
-)
-
-_import_structure = {
-    "configuration_kinoe": ["KinoeConfig"],
-}
-
-try:
-    if not is_torch_available():
-        raise OptionalDependencyNotAvailable()
-except OptionalDependencyNotAvailable:
-    pass
-else:
-    _import_structure["modeling_kinoe"] = [
-        "KinoeForCausalLM",
-        "KinoeModel",
-        "KinoePreTrainedModel",
-        "KinoeForSequenceClassification",
-        "KinoeForTokenClassification",
-    ]
-
-if TYPE_CHECKING:
-    from .configuration_kinoe import KinoeConfig
-
-    try:
-        if not is_torch_available():
-            raise OptionalDependencyNotAvailable()
-    except OptionalDependencyNotAvailable:
-        pass
-    else:
-        from .modeling_kinoe import (
-            KinoeForCausalLM,
-            KinoeForSequenceClassification,
-            KinoeForTokenClassification,
-            KinoeModel,
-            KinoePreTrainedModel,
-        )
-
-else:
-    import sys
-
-    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)