获取嵌入
函数 get_embedding 将为我们提供输入文本的嵌入。
import openai
embedding = openai.Embedding.create(
input="Your text goes here", model="text-embedding-ada-002"
)["data"][0]["embedding"]
len(embedding)
import openai
embedding = openai.Embedding.create(
input="Your text goes here", model="text-embedding-ada-002"
)["data"][0]["embedding"]
len(embedding)
import openai
embedding = openai.Embedding.create(
input="Your text goes here", model="text-embedding-ada-002"
)["data"][0]["embedding"]
len(embedding)
1536
1536
1536
import openai
from tenacity import retry, wait_random_exponential, stop_after_attempt
@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
def get_embedding(text: str, model="text-embedding-ada-002") -> list[float]:
return openai.Embedding.create(input=[text], model=model)["data"][0]["embedding"]
embedding = get_embedding("Your text goes here", model="text-embedding-ada-002")
print(len(embedding))
import openai
from tenacity import retry, wait_random_exponential, stop_after_attempt
@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
def get_embedding(text: str, model="text-embedding-ada-002") -> list[float]:
return openai.Embedding.create(input=[text], model=model)["data"][0]["embedding"]
embedding = get_embedding("Your text goes here", model="text-embedding-ada-002")
print(len(embedding))
import openai
from tenacity import retry, wait_random_exponential, stop_after_attempt
@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
def get_embedding(text: str, model="text-embedding-ada-002") -> list[float]:
return openai.Embedding.create(input=[text], model=model)["data"][0]["embedding"]
embedding = get_embedding("Your text goes here", model="text-embedding-ada-002")
print(len(embedding))
1536
1536
1536
此文章由OpenAI开源维基百科原创发布，如若转载请注明出处：https://openai.wiki/get_embeddings.html
