Lightstar/venv/Lib/site-packages/transformers/models/mistral/__init__.py

# Copyright 2023 Mistral AI and The HuggingFace Inc. 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 (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_import_structure = {
    "configuration_mistral": ["MistralConfig"],
}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_mistral"] = [
        "MistralForCausalLM",
        "MistralForQuestionAnswering",
        "MistralModel",
        "MistralPreTrainedModel",
        "MistralForSequenceClassification",
        "MistralForTokenClassification",
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_flax_mistral"] = [
        "FlaxMistralForCausalLM",
        "FlaxMistralModel",
        "FlaxMistralPreTrainedModel",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_tf_mistral"] = [
        "TFMistralModel",
        "TFMistralForCausalLM",
        "TFMistralForSequenceClassification",
        "TFMistralPreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_mistral import MistralConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mistral import (
            MistralForCausalLM,
            MistralForQuestionAnswering,
            MistralForSequenceClassification,
            MistralForTokenClassification,
            MistralModel,
            MistralPreTrainedModel,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_mistral import (
            FlaxMistralForCausalLM,
            FlaxMistralModel,
            FlaxMistralPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_mistral import (
            TFMistralForCausalLM,
            TFMistralForSequenceClassification,
            TFMistralModel,
            TFMistralPreTrainedModel,
        )


else:
    import sys

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