(BaseModel):answer:strclassAnswer2(BaseModelV2):"""The answer."""answer:strfromlangchain_openaiimportChatOpenAImodel=ChatOpenAI()model.with_structured_output(Answer).invoke('the answer is foo')# <-- Returns pydantic objectmodel.with_structured_output(Answer2).invoke('the answer is foo')# <...
deftest_with_structured_output( schema:Union[Type,Dict[str,Any],None], method:Literal["function_calling","json_mode","json_schema"], include_raw:bool, strict:Optional[bool], )->None: """Test passing in manually construct tool call message.""" ...
是的，我遇到了和你相同的问题。即使没有使用with_structured_output,with_config也无法传播参数。
经过进一步的调查，我发现ChatMistralAI期望使用Pydantic V1模型，而langchain默认安装了Pydantic V2。可以...
我正在经历同样的问题。
Flexible discriminative learning with structured output support vector machinesVedaldi, Andrea
Multi-Task Learning for Prosodic Structure Generation Using BLSTM RNN with Structured Output Layer 来自 Semantic Scholar 喜欢 0 阅读量: 113 作者:Y Huang,Z Wu,R Li,H Meng,L Cai 摘要: Prosodic structure generation from text plays an important role in Chinese text-to-speech (TTS) synthesis, ...
This paper introduces a special setting of weakly supervised structured output learning, where the training data is a set of structured instances and supervision involves candidate labels for some local parts of the structure. We show that the learning problem with this weak supervision setting can ...
Structured Output Learning with Candidate Labels for Local Parts Chengtao Li1, Jianwen Zhang2, , and Zheng Chen2 1 Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China, 100080 lichengtao2010@gmail.com 2 Microsoft Research Asia, Beijing, China, 100080 {jiazhan,...
structured-output learningweakly-supervised learningloss functionsStructured-output learning is a challenging problem; particularly so because of the difficulty in obtaining large datasets of fully labelled instances for training. In this paper we try to overcome this difficulty by presenting a multi-...