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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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8
libs/community/langchain_community/llms/deepsparse.py
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@@ -2,7 +2,7 @@
from langchain_core.utils import pre_init
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union
from langchain_core.utils import pre_init
from langchain_core.pydantic_v1 import root_validator
from pydantic import root_validator
from langchain_core.utils import pre_init
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
@@ -33,7 +33,7 @@ class DeepSparse(LLM):
model: str
"""The path to a model file or directory or the name of a SparseZoo model stub."""
model_config: Optional[Dict[str, Any]] = None
model_configuration: Optional[Dict[str, Any]] = None
"""Keyword arguments passed to the pipeline construction.
Common parameters are sequence_length, prompt_sequence_length"""
@@ -51,7 +51,7 @@ class DeepSparse(LLM):
"""Get the identifying parameters."""
return {
"model": self.model,
"model_config": self.model_config,
"model_config": self.model_configuration,
"generation_config": self.generation_config,
"streaming": self.streaming,
}
@@ -72,7 +72,7 @@ class DeepSparse(LLM):
"Please install it with `pip install deepsparse[llm]`"
)
model_config = values["model_config"] or {}
model_config = values["model_configuration"] or {}
values["pipeline"] = Pipeline.create(
task="text_generation",