diff --git a/fastapi_cache/coder.py b/fastapi_cache/coder.py
index 904fc694..7cac3190 100644
--- a/fastapi_cache/coder.py
+++ b/fastapi_cache/coder.py
@@ -15,12 +15,22 @@
 
 import pendulum
 from fastapi.encoders import jsonable_encoder
-from pydantic import BaseConfig, ValidationError, fields
+from pydantic import BaseConfig, ValidationError
 from starlette.responses import JSONResponse
 from starlette.templating import (
     _TemplateResponse as TemplateResponse,  # pyright: ignore[reportPrivateUsage]
 )
 
+from pydantic.version import VERSION as PYDANTIC_VERSION
+
+PYDANTIC_V2 = PYDANTIC_VERSION.startswith("2.")
+
+if PYDANTIC_V2:
+    from fastapi._compat import ModelField
+else:
+    from pydantic.fields import ModelField
+
+
 _T = TypeVar("_T", bound=type)
 
 
@@ -69,7 +79,7 @@ def decode(cls, value: bytes) -> Any:
     # decode_as_type method and then stores a different kind of field for a
     # given type, do make sure that the subclass provides its own class
     # attribute for this cache.
-    _type_field_cache: ClassVar[Dict[Any, fields.ModelField]] = {}
+    _type_field_cache: ClassVar[Dict[Any, ModelField]] = {}
 
     @overload
     @classmethod
@@ -93,7 +103,7 @@ def decode_as_type(cls, value: bytes, *, type_: Optional[_T]) -> Union[_T, Any]:
             try:
                 field = cls._type_field_cache[type_]
             except KeyError:
-                field = cls._type_field_cache[type_] = fields.ModelField(
+                field = cls._type_field_cache[type_] = ModelField(
                     name="body", type_=type_, class_validators=None, model_config=BaseConfig
                 )
             result, errors = field.validate(result, {}, loc=())