Dynamically Generating Pydantic Model from a Schema JSON File

I want to dynamically generate a Pydantic model at runtime. I can do this by calling create_model. For example,

from pydantic import create_model

create_model("MyModel", i=(int,...), s=(str...))

does this same thing as

from pydantic import BaseModel

class MyModel(BaseModel):
    i: int
    s: str

I want to serialize these Pydantic schemas as JSON. It's easy to write code to parse JSON into create_model arguments, and it would make sense to use the output of BaseModel.schema_json() since that already defines a serialization format. That makes me think that there should already be some sort of BaseModel.from_json_schema classmethod that could dynamically create a model like so

from pydantic import BaseModel

class MyModel(BaseModel):
    i: int
    s: str

my_model = BaseModel.from_json_schema(MyModel.schema_json())
my_model(i=5, s="s") # returns MyModel(i=5, s="s")

I can't find any such function in the documentation. Am I overlooking something, or do I have to write my own own JSON schema deserialization code?