Python ImportError：在安装过程中找不到InstructorEmbedding的配置文件

我已经安装了InstructorEmbedding，但在使用Python3.12的jupyter笔记本环境中(我也在3.11中try 过)，它一直给我提示错误.内核重启无济于事.

import torch
from langchain.embeddings import HuggingFaceInstructEmbeddings

DEVICE = "cuda:0" if torch.cuda.is_available() else "cpu"


embedding = HuggingFaceInstructEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2", model_kwargs={"device": DEVICE})

错误:

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
File /opt/conda/lib/python3.11/site-packages/langchain_community/embeddings/huggingface.py:151, in HuggingFaceInstructEmbeddings.__init__(self, **kwargs)
    150 try:
--> 151     from InstructorEmbedding import INSTRUCTOR
    153     self.client = INSTRUCTOR(
    154         self.model_name, cache_folder=self.cache_folder, **self.model_kwargs
    155     )

File /opt/conda/lib/python3.11/site-packages/InstructorEmbedding/__init__.py:1
----> 1 from .instructor import *

File /opt/conda/lib/python3.11/site-packages/InstructorEmbedding/instructor.py:9
      8 from torch import Tensor, device
----> 9 from sentence_transformers import SentenceTransformer
     10 from sentence_transformers.models import Transformer

ModuleNotFoundError: No module named 'sentence_transformers'

The above exception was the direct cause of the following exception:

ImportError                               Traceback (most recent call last)
Cell In[2], line 10
      4 DEVICE = "cuda:0" if torch.cuda.is_available() else "cpu"
      6 #loader = PyPDFDirectoryLoader("aircraft_pdfs")
      7 #docs = loader.load()
      8 #print(len(docs))  # length of all pages together
---> 10 embedding = HuggingFaceInstructEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2", model_kwargs={"device": DEVICE})

File /opt/conda/lib/python3.11/site-packages/langchain_community/embeddings/huggingface.py:157, in HuggingFaceInstructEmbeddings.__init__(self, **kwargs)
    153     self.client = INSTRUCTOR(
    154         self.model_name, cache_folder=self.cache_folder, **self.model_kwargs
    155     )
    156 except ImportError as e:
--> 157     raise ImportError("Dependencies for InstructorEmbedding not found.") from e

ImportError: Dependencies for InstructorEmbedding not found.

这是pip freeze的输出

transformers==4.37.2
torch==2.2.0
langchain==0.1.6
InstructorEmbedding==1.0.1
...