64 lines
1.4 KiB
Python
64 lines
1.4 KiB
Python
# Copyright 2024 The Qwen Team and The HuggingFace Inc. team.
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# SPDX-License-Identifier: Apache-2.0
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from typing import TYPE_CHECKING
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from transformers.utils import (
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OptionalDependencyNotAvailable,
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_LazyModule,
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is_tokenizers_available,
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is_torch_available,
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)
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_import_structure = {
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"configuration_qwen2": ["Qwen2Config"],
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"tokenization_qwen2": ["Qwen2Tokenizer"],
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}
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try:
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if not is_tokenizers_available():
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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pass
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else:
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_import_structure["tokenization_qwen2_fast"] = ["Qwen2TokenizerFast"]
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try:
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if not is_torch_available():
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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pass
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else:
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_import_structure["modeling_qwen2"] = [
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"Qwen2ForCausalLM",
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"Qwen2Model",
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"Qwen2PreTrainedModel",
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]
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if TYPE_CHECKING:
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pass
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try:
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if not is_tokenizers_available():
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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pass
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else:
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pass
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try:
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if not is_torch_available():
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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pass
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else:
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pass
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else:
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import sys
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sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
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