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from typing import TYPE_CHECKING
from transformers.utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
_import_structure = {
"configuration_codify": ["CODIFY_PRETRAINED_CONFIG_ARCHIVE_MAP", "CodifyConfig", "CodifyOnnxConfig"],
}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["tokenization_codify_fast"] = ["CodifyTokenizerFast"]
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_codify"] = [
"CODIFY_PRETRAINED_MODEL_ARCHIVE_LIST",
"CodifyForCausalLM",
"CodifyModel",
"CodifyPreTrainedModel",
]
if TYPE_CHECKING:
from .configuration_codify import CODIFY_PRETRAINED_CONFIG_ARCHIVE_MAP, CodifyConfig, CodifyOnnxConfig
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .tokenization_codify_fast import CodifyTokenizerFast
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_codify import (
CODIFY_PRETRAINED_MODEL_ARCHIVE_LIST,
CodifyForCausalLM,
CodifyModel,
CodifyPreTrainedModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
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