Try the Demo
Embeddings#
获取给定输入的向量表示形式，机器学习模型和算法可以轻松使用该表示形式。
1/0
## 让后面的代码不执行
---------------------------------------------------------------------------
ZeroDivisionError Traceback (most recent call last)
Cell In[1], line 1
----> 1 1/0
2 ## 让后面的代码不执行
ZeroDivisionError: division by zero
Create embeddings#
https://api.openai.com/v1/embeddings
创建表示输入文本的嵌入向量。
参数名称 |
类型 |
是否必须 |
默认值 |
描述 |
|---|---|---|---|---|
model |
string |
Required |
- |
要使用的模型的 ID。您可以使用 List models API 查看所有可用模型，或查看我们的模型概述以获取它们的描述。 |
input |
string or array |
Required |
- |
要获取嵌入的输入文本，编码为字符串或令牌数组。要在单个请求中获取多个输入的嵌入，请传递字符串数组或令牌数组数组。每个输入长度不得超过 8192 个令牌。 |
user |
string |
Optional |
- |
表示您的最终用户的唯一标识符，可帮助 OpenAI 监控和检测滥用。 |
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
openai.Embedding.create(
model="text-embedding-ada-002",
input="The food was delicious and the waiter..."
)
<OpenAIObject list at 0x1adac080d10> JSON: {
"data": [
{
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