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Running
on
Zero
File size: 1,742 Bytes
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# Copyright 2024 The Qwen Team and The HuggingFace Inc. team.
# SPDX-License-Identifier: Apache-2.0
from typing import TYPE_CHECKING
from transformers.utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
)
_import_structure = {
"configuration_qwen2": ["Qwen2Config"],
"tokenization_qwen2": ["Qwen2Tokenizer"],
}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["tokenization_qwen2_fast"] = ["Qwen2TokenizerFast"]
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_qwen2"] = [
"Qwen2ForCausalLM",
"Qwen2Model",
"Qwen2PreTrainedModel",
]
if TYPE_CHECKING:
from .configuration_qwen2 import Qwen2Config
from .tokenization_qwen2 import Qwen2Tokenizer
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .tokenization_qwen2_fast import Qwen2TokenizerFast
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_qwen2 import (
Qwen2ForCausalLM,
Qwen2Model,
Qwen2PreTrainedModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
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