requirements.txt #8

msl9810 · 2021-12-06T13:06:00Z

I hasn't find the env to run the example.So maybe you can share the requirements.txt?

zeevikal · 2022-05-31T09:13:22Z

@msl9810 hi, were you able to create/receive req.txt?

msl9810 · 2022-05-31T10:39:24Z

zeevikal · 2022-05-31T10:46:13Z

@msl9810 were you able to load the w2v model? i have a gensim lib error while trying to load it.

msl9810 · 2022-05-31T11:07:10Z

you can try gemsim3.8.3

zeevikal · 2022-05-31T11:12:57Z

I used 3.8 with no success. were you able to run the w2v model? if so, please share your PyPI env/ requirements file.
thanks.

msl9810 · 2022-05-31T11:52:31Z

I trained the w2v by myself.The req.txt as follow:

This file may be used to create an environment using:

$ conda create --name --file

platform: win-64

_tflow_select=2.2.0=eigen
absl-py=0.15.0=pyhd3eb1b0_0
adjusttext=0.7.3=pypi_0
aiohttp=3.7.4.post0=py36h2bbff1b_2
argon2-cffi=20.1.0=py36h2bbff1b_1
astor=0.8.1=py36haa95532_0
async-timeout=3.0.1=py36haa95532_0
async_generator=1.10=py36h28b3542_0
attrs=21.4.0=pyhd3eb1b0_0
backcall=0.2.0=pyhd3eb1b0_0
blas=1.0=mkl
bleach=4.1.0=pyhd3eb1b0_0
boto3=1.20.24=pyhd3eb1b0_0
botocore=1.23.24=pyhd3eb1b0_0
brotlipy=0.7.0=py36h2bbff1b_1003
ca-certificates=2022.4.26=haa95532_0
cachetools=4.2.2=pyhd3eb1b0_0
certifi=2021.5.30=py36haa95532_0
cffi=1.14.6=py36h2bbff1b_0
chardet=4.0.0=py36haa95532_1003
charset-normalizer=2.0.4=pyhd3eb1b0_0
colorama=0.4.4=pyhd3eb1b0_0
coverage=5.5=py36h2bbff1b_2
cryptography=35.0.0=py36h71e12ea_0
cudatoolkit=9.0=1
cudnn=7.6.5=cuda9.0_0
cycler=0.11.0=pyhd3eb1b0_0
cython=0.29.24=py36hd77b12b_0
dataclasses=0.8=pyh4f3eec9_6
decorator=5.1.1=pyhd3eb1b0_0
defusedxml=0.7.1=pyhd3eb1b0_0
entrypoints=0.3=py36_0
freetype=2.10.4=hd328e21_0
gast=0.5.3=pyhd3eb1b0_0
gensim=3.8.3=py36hd77b12b_2
google-api-core=1.25.1=pyhd3eb1b0_0
google-auth=1.33.0=pyhd3eb1b0_0
google-cloud-core=1.7.1=pyhd3eb1b0_0
google-cloud-storage=1.41.0=pyhd3eb1b0_0
google-crc32c=1.1.2=py36h2bbff1b_0
google-resumable-media=1.3.1=pyhd3eb1b0_1
googleapis-common-protos=1.53.0=py36h2eaa2aa_0
grpcio=1.36.1=py36hc60d5dd_1
h5py=2.10.0=py36h5e291fa_0
hdf5=1.10.4=h7ebc959_0
icc_rt=2019.0.0=h0cc432a_1
icu=58.2=ha925a31_3
idna=3.3=pyhd3eb1b0_0
idna_ssl=1.1.0=py36haa95532_0
importlib-metadata=4.8.1=py36haa95532_0
importlib_metadata=4.8.1=hd3eb1b0_0
intel-openmp=2022.0.0=haa95532_3663
ipykernel=5.3.4=py36h5ca1d4c_0
ipython=7.16.1=py36h5ca1d4c_0
ipython_genutils=0.2.0=pyhd3eb1b0_1
ipywidgets=7.6.5=pyhd3eb1b0_1
jedi=0.17.0=py36_0
jinja2=3.0.3=pyhd3eb1b0_0
jmespath=0.10.0=pyhd3eb1b0_0
joblib=1.1.0=pypi_0
jpeg=9d=h2bbff1b_0
jsonschema=3.2.0=pyhd3eb1b0_2
jupyter=1.0.0=py36_7
jupyter_client=7.1.2=pyhd3eb1b0_0
jupyter_console=6.4.3=pyhd3eb1b0_0
jupyter_core=4.8.1=py36haa95532_0
jupyterlab_pygments=0.1.2=py_0
jupyterlab_widgets=1.0.0=pyhd3eb1b0_1
keras=2.2.4=0
keras-applications=1.0.8=py_1
keras-base=2.2.4=py36_0
keras-preprocessing=1.1.2=pyhd3eb1b0_0
kiwisolver=1.3.1=py36hd77b12b_0
libcrc32c=1.1.1=ha925a31_2
libpng=1.6.37=h2a8f88b_0
libprotobuf=3.17.2=h23ce68f_1
libtiff=4.2.0=hd0e1b90_0
lz4-c=1.9.3=h2bbff1b_1
m2w64-gcc-libgfortran=5.3.0=6
m2w64-gcc-libs=5.3.0=7
m2w64-gcc-libs-core=5.3.0=7
m2w64-gmp=6.1.0=2
m2w64-libwinpthread-git=5.0.0.4634.697f757=2
markdown=3.3.4=py36haa95532_0
markupsafe=2.0.1=py36h2bbff1b_0
matplotlib=3.3.4=py36haa95532_0
matplotlib-base=3.3.4=py36h49ac443_0
mistune=0.8.4=py36he774522_0
mkl=2020.2=256
mkl-service=2.3.0=py36h196d8e1_0
mkl_fft=1.3.0=py36h46781fe_0
mkl_random=1.1.1=py36h47e9c7a_0
msys2-conda-epoch=20160418=1
multidict=5.1.0=py36h2bbff1b_2
nbclient=0.5.3=pyhd3eb1b0_0
nbconvert=6.0.7=py36_0
nbformat=5.1.3=pyhd3eb1b0_0
nest-asyncio=1.5.1=pyhd3eb1b0_0
nltk=3.4.5=py36_0
notebook=6.4.3=py36haa95532_0
numpy=1.19.2=py36hadc3359_0
numpy-base=1.19.2=py36ha3acd2a_0
olefile=0.46=py36_0
openssl=1.1.1n=h2bbff1b_0
packaging=21.3=pyhd3eb1b0_0
pandas=1.1.5=py36hd77b12b_0
pandoc=2.12=haa95532_0
pandocfilters=1.5.0=pyhd3eb1b0_0
parso=0.8.3=pyhd3eb1b0_0
pickleshare=0.7.5=pyhd3eb1b0_1003
pillow=8.3.1=py36h4fa10fc_0
pip=21.2.2=py36haa95532_0
prometheus_client=0.13.1=pyhd3eb1b0_0
prompt-toolkit=3.0.20=pyhd3eb1b0_0
prompt_toolkit=3.0.20=hd3eb1b0_0
protobuf=3.17.2=py36hd77b12b_0
pyasn1=0.4.8=pyhd3eb1b0_0
pyasn1-modules=0.2.8=py_0
pycparser=2.21=pyhd3eb1b0_0
pygments=2.11.2=pyhd3eb1b0_0
pyopenssl=22.0.0=pyhd3eb1b0_0
pyparsing=3.0.4=pyhd3eb1b0_0
pyqt=5.9.2=py36h6538335_2
pyreadline=2.1=py36_1
pyrsistent=0.17.3=py36he774522_0
pysocks=1.7.1=py36haa95532_0
python=3.6.13=h3758d61_0
python-dateutil=2.8.2=pyhd3eb1b0_0
pytz=2021.3=pyhd3eb1b0_0
pywin32=228=py36hbaba5e8_1
pywinpty=0.5.7=py36_0
pyyaml=6.0=pypi_0
pyzmq=22.2.1=py36hd77b12b_1
qt=5.9.7=vc14h73c81de_0
qtconsole=5.2.2=pyhd3eb1b0_0
qtpy=1.11.2=pyhd3eb1b0_0
requests=2.27.1=pyhd3eb1b0_0
rsa=4.7.2=pyhd3eb1b0_1
s3transfer=0.5.0=pyhd3eb1b0_0
scikit-learn=0.24.2=pypi_0
scipy=1.5.2=py36h9439919_0
seaborn=0.11.2=pyhd3eb1b0_0
send2trash=1.8.0=pyhd3eb1b0_1
setuptools=58.0.4=py36haa95532_0
sip=4.19.8=py36h6538335_0
six=1.16.0=pyhd3eb1b0_1
sklearn=0.0=pypi_0
smart_open=5.1.0=pyhd3eb1b0_0
sqlite=3.38.0=h2bbff1b_0
tensorboard=1.10.0=py36he025d50_0
tensorflow=1.10.0=eigen_py36h849fbd8_0
tensorflow-base=1.10.0=eigen_py36h45df0d8_0
termcolor=1.1.0=py36haa95532_1
terminado=0.9.4=py36haa95532_0
testpath=0.5.0=pyhd3eb1b0_0
threadpoolctl=3.1.0=pypi_0
tk=8.6.11=h2bbff1b_0
tornado=6.1=py36h2bbff1b_0
traitlets=4.3.3=py36haa95532_0
typing-extensions=4.1.1=hd3eb1b0_0
typing_extensions=4.1.1=pyh06a4308_0
urllib3=1.26.8=pyhd3eb1b0_0
vc=14.2=h21ff451_1
vs2015_runtime=14.27.29016=h5e58377_2
wcwidth=0.2.5=pyhd3eb1b0_0
webencodings=0.5.1=py36_1
werkzeug=2.0.3=pyhd3eb1b0_0
wheel=0.37.1=pyhd3eb1b0_0
widgetsnbextension=3.5.1=py36_0
win_inet_pton=1.1.0=py36haa95532_0
wincertstore=0.2=py36h7fe50ca_0
winpty=0.4.3=4
xz=5.2.5=h62dcd97_0
yaml=0.2.5=he774522_0
yarl=1.5.1=py36he774522_0
zipp=3.6.0=pyhd3eb1b0_0
zlib=1.2.11=hbd8134f_5
zstd=1.4.9=h19a0ad4_0

zeevikal · 2022-05-31T11:54:00Z

@msl9810 thanks!

ghost · 2022-10-08T09:32:56Z

hello, I would like to ask how long it took you to train the w2v model, I have been running for 48 hours on my machine and still not finished.

msl9810 · 2022-10-08T13:24:17Z

这个要看你的设备具体是什么的吧？我用的是AMD的5800X，印象里完全用不了48小时这么久的。

ghost · 2022-10-08T13:58:27Z

原来是同胞啊，谢谢回答！我的设备是AMD Ryzen 5 5600X 6-Core Processor CPU ，卡在nltk.sent_tokenize那儿48小时了，不知道为啥，请问你之前在运行的时候遇到过这个问题吗？

ghost · 2022-10-08T14:01:53Z

还有请问你之前在加载原作者提供的word2vec.model的时候是否遇到过No such file or directory: '...word2vec_withString10-100-200.model.wv.vectors.npy这个报错，这是因为gensim的版本问题还是加载时缺少运行文件问题？真诚的感谢你！

msl9810 · 2022-10-08T14:38:06Z

虽然CPU性能上有点差距但是不至于到48小时这么离谱，我感觉

ghost · 2022-10-08T14:43:54Z

好的，谢谢老哥热心的回答！！！

Byhas · 2024-07-07T09:56:08Z

please provide me a requierments.txt file

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

requirements.txt #8

requirements.txt #8

msl9810 commented Dec 6, 2021

zeevikal commented May 31, 2022

msl9810 commented May 31, 2022

zeevikal commented May 31, 2022

msl9810 commented May 31, 2022

zeevikal commented May 31, 2022

msl9810 commented May 31, 2022

zeevikal commented May 31, 2022

ghost commented Oct 8, 2022

msl9810 commented Oct 8, 2022

ghost commented Oct 8, 2022

ghost commented Oct 8, 2022

msl9810 commented Oct 8, 2022

ghost commented Oct 8, 2022

Byhas commented Jul 7, 2024

requirements.txt #8

requirements.txt #8

Comments

msl9810 commented Dec 6, 2021

zeevikal commented May 31, 2022

msl9810 commented May 31, 2022

zeevikal commented May 31, 2022

msl9810 commented May 31, 2022

zeevikal commented May 31, 2022

msl9810 commented May 31, 2022

This file may be used to create an environment using:

$ conda create --name --file

platform: win-64

zeevikal commented May 31, 2022

ghost commented Oct 8, 2022

msl9810 commented Oct 8, 2022

ghost commented Oct 8, 2022

ghost commented Oct 8, 2022

msl9810 commented Oct 8, 2022

ghost commented Oct 8, 2022

Byhas commented Jul 7, 2024