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

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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>
This commit is contained in:
Erick Friis
2024-09-13 14:38:45 -07:00
committed by GitHub
parent d9813bdbbc
commit c2a3021bb0
1402 changed files with 38318 additions and 30410 deletions
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17
libs/community/langchain_community/embeddings/huggingface.py
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@@ -4,7 +4,7 @@ from typing import Any, Dict, List, Optional
import requests
from langchain_core._api import deprecated, warn_deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr
from pydantic import BaseModel, ConfigDict, Field, SecretStr
DEFAULT_MODEL_NAME = "sentence-transformers/all-mpnet-base-v2"
DEFAULT_INSTRUCT_MODEL = "hkunlp/instructor-large"
@@ -44,7 +44,7 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
)
"""
client: Any #: :meta private:
client: Any = None #: :meta private:
model_name: str = DEFAULT_MODEL_NAME
"""Model name to use."""
cache_folder: Optional[str] = None
@@ -93,8 +93,7 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
self.model_name, cache_folder=self.cache_folder, **self.model_kwargs
)
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.
@@ -152,7 +151,7 @@ class HuggingFaceInstructEmbeddings(BaseModel, Embeddings):
)
"""
client: Any #: :meta private:
client: Any = None #: :meta private:
model_name: str = DEFAULT_INSTRUCT_MODEL
"""Model name to use."""
cache_folder: Optional[str] = None
@@ -208,8 +207,7 @@ class HuggingFaceInstructEmbeddings(BaseModel, Embeddings):
)
self.show_progress = self.encode_kwargs.pop("show_progress_bar")
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 instruct model.
@@ -285,7 +283,7 @@ class HuggingFaceBgeEmbeddings(BaseModel, Embeddings):
)
"""
client: Any #: :meta private:
client: Any = None #: :meta private:
model_name: str = DEFAULT_BGE_MODEL
"""Model name to use."""
cache_folder: Optional[str] = None
@@ -348,8 +346,7 @@ class HuggingFaceBgeEmbeddings(BaseModel, Embeddings):
)
self.show_progress = self.encode_kwargs.pop("show_progress_bar")
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.