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General purpose unsupervised sentence representations

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Processing e:\project\download\sent2vec-master Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Collecting numpy>=1.17.1 Using cached https://pypi.tuna.tsinghua.edu.cn/packages/4c/42/6274f92514fbefcb1caa66d56d82ac7ac89f7652c0cef1e159a4b79e09f1/numpy-1.23.5-cp38-cp38-win_amd64.whl (14.7 MB) Collecting Cython>=0.29.13 Using cached...

A few issues were created for mac builds: https://github.com/epfml/sent2vec/issues/60 https://github.com/epfml/sent2vec/issues/48 This code allowed me to install sent2vec using `pip install .` Most of the code is copied from https://github.com/facebookresearch/fastText/blob/master/setup.py, but...

Bumps [numpy](https://github.com/numpy/numpy) from 1.18.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

pip install ./sent2vec Processing c:\nlp@ri\mitcollab-master\sent2vec DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build...

I don't have an enormous corpus to train a sent2vec model from scratch. So I want to fine tune a pretrained model using my own custom dataset.

when i tried to install sent2vec in my python virtual environment in linux im facing the issue " **gcc: error: unrecognized command line option ‘-fno-semantic-interposition**’ error: command 'gcc' failed with...

mac;python3.7 安装了fasttext0.9.2 fasttext.load_model('vec_path') 可以成功 sent2vecModel.load_model('vec_path') 报错,Model file has wrong file format!(安装过程无报错)

Hello ! while installing, I ran **python setup.py build_ext** I got this answer ![image](https://user-images.githubusercontent.com/6575062/46299743-4fdc1f80-c5a2-11e8-8c9e-56354a84b87b.png) installation of fastest did not make any trouble ... indeed the complete answer is ![image](https://user-images.githubusercontent.com/6575062/46300164-4acba000-c5a3-11e8-949e-7354c4870cca.png) any...

https://github.com/epfml/sent2vec/issues/90

Can we have a function that is similar to the fasttext `print-n-grams`. I personally need it to learn the embedding of bi-grams, related to a word