加载 HuggingFaceEmbeddings 时，总是显示如下错误。
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-27-04d1583103a5> in <cell line: 2>()
1 get_ipython().system('pip install --force-reinstall numpy==1.24.0')
----> 2 embeddings = HuggingFaceEmbeddings(
3 model_name="oshizo/sbert-jsnli-luke-japanese-base-lite"
4 )
12 frames
/usr/local/lib/python3.10/dist-packages/numpy/__init__.py in __getattr__(attr)
309 """
310 try:
--> 311 x = ones(2, dtype=float32)
312 if not abs(x.dot(x) - float32(2.0)) < 1e-5:
313 raise AssertionError()
AttributeError: module 'numpy' has no attribute '_no_nep50_warning'
我尝试将 numpy 版本降级为
1.25.2 -> 1.24.4 -> 1.24.2 -> 1.24.1 -> 1.24.0
但总是会发生同样的错误。谷歌对此没有任何答复。 如果有人知道如何解决这个问题...请告诉我任何信息，
这是我的 pip 安装源代码。 numpy 版本 1.24.0 上次尝试降级版本。
!pip install --force-reinstall numpy==1.24.0
from langchain.embeddings import HuggingFaceEmbeddings
embeddings = HuggingFaceEmbeddings(
model_name="intfloat/multilingual-e5-large"
)
下面是我的点子列表
Package Version
-------------------------------- ---------------------
absl-py 1.4.0
accelerate 0.22.0
aiohttp 3.8.5
aiosignal 1.3.1
alabaster 0.7.13
albumentations 1.3.1
altair 4.2.2
annotated-types 0.5.0
anyio 3.7.1
appdirs 1.4.4
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
array-record 0.4.1
arviz 0.15.1
astropy 5.3.2
astunparse 1.6.3
async-timeout 4.0.3
attrs 23.1.0
audioread 3.0.0
autograd 1.6.2
Babel 2.12.1
backcall 0.2.0
beautifulsoup4 4.11.2
bleach 6.0.0
blinker 1.4
blis 0.7.10
blosc2 2.0.0
bokeh 3.2.2
boto3 1.28.43
botocore 1.31.43
bqplot 0.12.40
branca 0.6.0
build 1.0.0
CacheControl 0.13.1
cachetools 5.3.1
catalogue 2.0.9
certifi 2023.7.22
cffi 1.15.1
chardet 5.2.0
charset-normalizer 3.2.0
chex 0.1.7
click 8.1.7
click-plugins 1.1.1
cligj 0.7.2
cloudpickle 2.2.1
cmake 3.27.2
cmdstanpy 1.1.0
colorcet 3.0.1
colorlover 0.3.0
colour 0.1.5
community 1.0.0b1
confection 0.1.1
cons 0.4.6
contextlib2 21.6.0
contourpy 1.1.0
convertdate 2.4.0
cryptography 41.0.3
cufflinks 0.17.3
cupy-cuda11x 11.0.0
cvxopt 1.3.2
cvxpy 1.3.2
cycler 0.11.0
cymem 2.0.7
Cython 0.29.36
dask 2023.8.1
dataclasses-json 0.5.14
datascience 0.17.6
db-dtypes 1.1.1
dbus-python 1.2.18
debugpy 1.6.6
decorator 4.4.2
defusedxml 0.7.1
diskcache 5.6.3
distributed 2023.8.1
distro 1.7.0
dlib 19.24.2
dm-tree 0.1.8
docutils 0.18.1
dopamine-rl 4.0.6
duckdb 0.8.1
earthengine-api 0.1.367
easydict 1.10
ecos 2.0.12
editdistance 0.6.2
eerepr 0.0.4
en-core-web-sm 3.6.0
entrypoints 0.4
ephem 4.1.4
et-xmlfile 1.1.0
etils 1.4.1
etuples 0.3.9
exceptiongroup 1.1.3
faiss-gpu 1.7.2
fastai 2.7.12
fastcore 1.5.29
fastdownload 0.0.7
fastjsonschema 2.18.0
fastprogress 1.0.3
fastrlock 0.8.2
filelock 3.12.3
Fiona 1.9.4.post1
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flatbuffers 23.5.26
flax 0.7.2
folium 0.14.0
fonttools 4.42.1
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frozenlist 1.4.0
fsspec 2023.6.0
future 0.18.3
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gensim 4.3.2
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geopy 2.3.0
gin-config 0.5.0
glob2 0.7
google 2.0.3
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google-auth 2.17.3
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iniconfig 2.0.0
intel-openmp 2023.2.0
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ipyleaflet 0.17.3
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itsdangerous 2.1.2
jax 0.4.14
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joblib 1.3.2
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jsonschema-specifications 2023.7.1
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SQLAlchemy 2.0.20
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statsmodels 0.14.0
sympy 1.12
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打开新的协作编辑器并运行每个命令
#this is minimum pre-requisites
pip install langchain
pip install sentence-transformers
代码
from langchain.embeddings import HuggingFaceEmbeddings
embeddings = HuggingFaceEmbeddings(
model_name="intfloat/multilingual-e5-large"
)