multiple: pydantic 2 compatibility, v0.3 (#26443)

Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>

libs/community/langchain_community/llms/ipex_llm.py

@@ -3,6 +3,7 @@ from typing import Any, List, Mapping, Optional
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
+from pydantic import ConfigDict
 
 DEFAULT_MODEL_ID = "gpt2"
 
@@ -24,15 +25,16 @@ class IpexLLM(LLM):
     """Model name or model path to use."""
     model_kwargs: Optional[dict] = None
     """Keyword arguments passed to the model."""
-    model: Any  #: :meta private:
+    model: Any = None  #: :meta private:
     """IpexLLM model."""
-    tokenizer: Any  #: :meta private:
+    tokenizer: Any = None  #: :meta private:
     """Huggingface tokenizer model."""
     streaming: bool = True
     """Whether to stream the results, token by token."""
 
-    class Config:
-        extra = "forbid"
+    model_config = ConfigDict(
+        extra="forbid",
+    )
 
     @classmethod
     def from_model_id(