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/embeddings/openvino.py

@@ -2,7 +2,7 @@ from pathlib import Path
 from typing import Any, Dict, List
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 
 DEFAULT_QUERY_INSTRUCTION = (
     "Represent the question for retrieving supporting documents: "
@@ -31,9 +31,9 @@ class OpenVINOEmbeddings(BaseModel, Embeddings):
             )
     """
 
-    ov_model: Any
+    ov_model: Any = None
     """OpenVINO model object."""
-    tokenizer: Any
+    tokenizer: Any = None
     """Tokenizer for embedding model."""
     model_name_or_path: str
     """HuggingFace model id."""
@@ -254,8 +254,7 @@ class OpenVINOEmbeddings(BaseModel, Embeddings):
 
         return all_embeddings
 
-    class Config:
-        extra = "forbid"
+    model_config = ConfigDict(extra="forbid", protected_namespaces=())
 
     def embed_documents(self, texts: List[str]) -> List[List[float]]:
         """Compute doc embeddings using a HuggingFace transformer model.