Describe your problem
Hi, I already have deployed some models and the ada and larg3 embedding models, however, when entering the API-key and endpoint, I'm receiving an error message that the encoding method was not implemented. As far as I know support was added by issue #1512 .
Upon closer insection I saw in the embedding_model.py that there is no encode method for the azure openai class, or was that added somewhere else?
Here the azure class directly inherits from Baseclass AzureEmbed(Base): def __init__(self, key, model_name, **kwargs): self.client = AzureOpenAI(api_key=key, azure_endpoint=kwargs["base_url"], api_version="2024-02-01") self.model_name = model_name
And here the Base
`class Base(ABC):
def init(self, key, model_name):
pass
def encode(self, texts: list, batch_size=32):
raise NotImplementedError("Please implement encode method!")
def encode_queries(self, text: str):
raise NotImplementedError("Please implement encode method!")`
2条答案
按热度按时间mlmc2os51#
在我看来,它似乎来自于错误的基类。可以尝试从
OpenAIEmbed
派生它。不幸的是,我没有一个开发环境来尝试它。m528fe3b2#
我可以确认将基类更改为
OpenAIEmbed
是有效的。我可以使用我的 Azure 部署的端点与它们一起使用。另外,请注意端点的名称必须是:azure-text-embedding-3-large
azure-gpt-35-turbo
等等,所以
azure-
后面跟着模型类型。