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/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py

@@ -7,6 +7,7 @@ from typing import Any, Iterator, List, Mapping, Optional
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import BaseLLM
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
+from pydantic import ConfigDict
 
 DEFAULT_MODEL_ID = "gpt2"
 DEFAULT_TASK = "text-generation"
@@ -53,7 +54,7 @@ class HuggingFacePipeline(BaseLLM):
             hf = HuggingFacePipeline(pipeline=pipe)
     """
 
-    pipeline: Any  #: :meta private:
+    pipeline: Any = None  #: :meta private:
     model_id: str = DEFAULT_MODEL_ID
     """Model name to use."""
     model_kwargs: Optional[dict] = None
@@ -63,10 +64,9 @@ class HuggingFacePipeline(BaseLLM):
     batch_size: int = DEFAULT_BATCH_SIZE
     """Batch size to use when passing multiple documents to generate."""
 
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = "forbid"
+    model_config = ConfigDict(
+        extra="forbid",
+    )
 
     @classmethod
     def from_model_id(