Update transformers-stubs

stubs/transformers-stubs/models/auto/auto_factory.pyi

@@ -1,17 +1,15 @@
 import os
 from collections import OrderedDict
 from collections.abc import Iterator
-from typing import Any
+from typing import Any, TypeVar, Union
 from typing_extensions import TypeAlias
 
 from transformers.configuration_utils import PretrainedConfig
 from transformers.tokenization_utils_fast import PreTrainedTokenizerFast
 
-_LazyAutoMappingValue: TypeAlias = tuple[
-    # Tokenizers will depend on packages installed, too much variance and there are no common base or Protocol
-    type[Any | None],
-    type[PreTrainedTokenizerFast | None],
-]
+_T = TypeVar("_T")
+# Tokenizers will depend on packages installed, too much variance and there are no common base or Protocol
+_LazyAutoMappingValue: TypeAlias = tuple[type[Any] | None, type[Any] | None]
 
 CLASS_DOCSTRING: str
 FROM_CONFIG_DOCSTRING: str
@@ -26,7 +24,7 @@ class _BaseAutoModelClass:
     @classmethod
     def from_pretrained(cls, pretrained_model_name_or_path: str | os.PathLike[str], *model_args, **kwargs): ...
     @classmethod
-    def register(cls, config_class, model_class) -> None: ...
+    def register(cls, config_class, model_class, exist_ok=False) -> None: ...
 
 def insert_head_doc(docstring, head_doc: str = ""): ...
 def auto_class_update(cls, checkpoint_for_example: str = "bert-base-cased", head_doc: str = ""): ...
@@ -38,10 +36,10 @@ class _LazyAutoMapping(OrderedDict[type[PretrainedConfig], _LazyAutoMappingValue
     def __len__(self) -> int: ...
     def __getitem__(self, key: type[PretrainedConfig]) -> _LazyAutoMappingValue: ...
     def keys(self) -> list[type[PretrainedConfig]]: ...
-    def get(self, key: type[PretrainedConfig], default: _LazyAutoMappingValue) -> _LazyAutoMappingValue: ...
+    def get(self, key: type[PretrainedConfig], default: _T) -> _LazyAutoMappingValue | _T: ...
     def __bool__(self) -> bool: ...
     def values(self) -> list[_LazyAutoMappingValue]: ...
     def items(self) -> list[tuple[type[PretrainedConfig], _LazyAutoMappingValue]]: ...
     def __iter__(self) -> Iterator[type[PretrainedConfig]]: ...
-    def __contains__(self, item: object) -> bool: ...
-    def register(self, key: type[PretrainedConfig], value: _LazyAutoMappingValue) -> None: ...
+    def __contains__(self, item: type) -> bool: ...
+    def register(self, key: type[PretrainedConfig], value: _LazyAutoMappingValue, exist_ok=False) -> None: ...

stubs/transformers-stubs/models/auto/configuration_auto.pyi

@@ -1,14 +1,13 @@
 import os
 from collections import OrderedDict
 from collections.abc import Callable, Iterator, KeysView, ValuesView
-from typing import Any, TypeVar
+from typing import Any, NoReturn, TypeVar
 
 from transformers.configuration_utils import PretrainedConfig
 
 _F = TypeVar("_F", bound=Callable[..., Any])
 
 CONFIG_MAPPING_NAMES: OrderedDict[str, str]
-CONFIG_ARCHIVE_MAP_MAPPING_NAMES: OrderedDict[str, str]
 MODEL_NAMES_MAPPING: OrderedDict[str, str]
 SPECIAL_MODEL_TYPE_TO_MODULE_NAME: OrderedDict[str, str]
 
@@ -23,7 +22,7 @@ class _LazyConfigMapping(OrderedDict[str, type[PretrainedConfig]]):
     def items(self) -> list[tuple[str, type[PretrainedConfig]]]: ...
     def __iter__(self) -> Iterator[str]: ...
     def __contains__(self, item: object) -> bool: ...
-    def register(self, key: str, value: type[PretrainedConfig]) -> None: ...
+    def register(self, key: str, value: type[PretrainedConfig], exist_ok=False) -> None: ...
 
 CONFIG_MAPPING: _LazyConfigMapping
 
@@ -36,8 +35,6 @@ class _LazyLoadAllMappings(OrderedDict[str, str]):
     def __iter__(self) -> Iterator[str]: ...
     def __contains__(self, item: object) -> bool: ...
 
-ALL_PRETRAINED_CONFIG_ARCHIVE_MAP: _LazyLoadAllMappings
-
 def replace_list_option_in_docstrings(config_to_class=None, use_model_types: bool = True) -> Callable[[_F], _F]: ...
 
 class AutoConfig:
@@ -47,4 +44,4 @@ class AutoConfig:
     @classmethod
     def from_pretrained(cls, pretrained_model_name_or_path: str | os.PathLike[str], **kwargs): ...
     @staticmethod
-    def register(model_type, config) -> None: ...
+    def register(model_type, config, exist_ok=False) -> None: ...

stubs/transformers-stubs/models/auto/tokenization_auto.pyi

@@ -1,24 +1,24 @@
 import os
 from collections import OrderedDict
 from typing import Any
+from typing_extensions import TypeAlias
 
-from transformers.configuration_utils import PretrainedConfig
 from transformers.models.auto.auto_factory import _LazyAutoMapping
 from transformers.tokenization_utils import PreTrainedTokenizer
 from transformers.tokenization_utils_fast import PreTrainedTokenizerFast
 
 TOKENIZER_MAPPING_NAMES: OrderedDict[str, tuple[str | None, str | None]]
 TOKENIZER_MAPPING: _LazyAutoMapping
-CONFIG_TO_TYPE: dict[type[PretrainedConfig], str]
+CONFIG_TO_TYPE: dict[str, str]
 
-def tokenizer_class_from_name(class_name: str) -> PreTrainedTokenizer | PreTrainedTokenizerFast: ...
+def tokenizer_class_from_name(class_name: str) -> type[Any] | None: ...
 def get_tokenizer_config(
     pretrained_model_name_or_path: str | os.PathLike[str],
     cache_dir: str | os.PathLike[str] | None = None,
     force_download: bool = False,
-    resume_download: bool = False,
+    resume_download: bool | None = None,
     proxies: dict[str, str] | None = None,
-    use_auth_token: bool | str | None = None,
+    token: bool | str | None = None,
     revision: str | None = None,
     local_files_only: bool = False,
     subfolder: str = "",
@@ -28,7 +28,5 @@ def get_tokenizer_config(
 class AutoTokenizer:
     def __init__(self) -> None: ...
     @classmethod
-    def from_pretrained(
-        cls, pretrained_model_name_or_path: str | os.PathLike[str], *inputs, **kwargs
-    ) -> PreTrainedTokenizer | PreTrainedTokenizerFast: ...
-    def register(config_class, slow_tokenizer_class=None, fast_tokenizer_class=None) -> None: ...
+    def from_pretrained(cls, pretrained_model_name_or_path: str | os.PathLike[str], *inputs, **kwargs): ...
+    def register(config_class, slow_tokenizer_class=None, fast_tokenizer_class=None, exist_ok=False) -> None: ...