spacy-models | 💫 Models for the spaCy Natural Language Processing | Machine Learning library

 by   explosion Python Version: sl_core_news_lg-3.6.0a5 License: No License

kandi X-RAY | spacy-models Summary

kandi X-RAY | spacy-models Summary

spacy-models is a Python library typically used in Artificial Intelligence, Machine Learning applications. spacy-models has no bugs, it has no vulnerabilities and it has medium support. However spacy-models build file is not available. You can install using 'pip install spacy-models' or download it from GitHub, PyPI.

This repository contains releases of models for the spaCy NLP library. For more info on how to download, install and use the models, see the models documentation. ️ Important note: Because the models can be very large and consist mostly of binary data, we can't simply provide them as files in a GitHub repository. Instead, we've opted for adding them to releases as .whl and .tar.gz files. This allows us to still maintain a public release history.

            kandi-support Support

              spacy-models has a medium active ecosystem.
              It has 1333 star(s) with 293 fork(s). There are 52 watchers for this library.
              There were 10 major release(s) in the last 12 months.
              spacy-models has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spacy-models is sl_core_news_lg-3.6.0a5

            kandi-Quality Quality

              spacy-models has 0 bugs and 0 code smells.

            kandi-Security Security

              spacy-models has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              spacy-models code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spacy-models does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              spacy-models releases are available to install and integrate.
              Deployable package is available in PyPI.
              spacy-models has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 1498 lines of code, 142 functions and 62 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            spacy-models Key Features

            No Key Features are available at this moment for spacy-models.

            spacy-models Examples and Code Snippets

            1. Introduction
            Pythondot img1Lines of Code : 88dot img1License : Permissive (MIT)
            copy iconCopy
            python3 -m pip install coreferee
            python3 -m coreferee install en
            >>> import coreferee, spacy
            >>> nlp = spacy.load('en_core_web_trf')
            >>> nlp.add_pipe('coreferee')
            >>> doc = nlp("Although he was very   
            Download the dataset and install spaCy and pandas-Import pre-annotated data
            Pythondot img2Lines of Code : 69dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            import spacy
            import pandas as pd
            import json
            from itertools import groupby
            # Download spaCy models:
            models = {
                'en_core_web_sm': spacy.load("en_core_web_sm"),
                'en_core_web_lg': spacy.load("en_core_web_lg")
            # This function converts spaCy d  
            Pythondot img3Lines of Code : 30dot img3License : Permissive (MIT)
            copy iconCopy
            import classy_classification
            data = {
                "furniture": ["This text is about chairs.",
                           "Couches, benches and televisions.",
                           "I really need to get a new sofa."],
                "kitchen": ["There also exist things like fridges.",

            Community Discussions


            Profanity filter could not load Spacy model 'en'
            Asked 2021-Nov-01 at 04:47

            I need the Spacy model 'en' for the Python profanity-filter. I would like to have a requirements.txt file that installs everything needed. I have the following:



            Answered 2021-Nov-01 at 04:47

            You can't fix this in requirements.txt. Making the shortcut en work for the model en_core_web_sm isn't a property of the installed package, it's something spaCy manages separately. The shortcut process relies on symbolic links and is kind of flaky, which is why it was removed in v3.

            Since it looks like the profanity filter package is abandoned, your options are running spacy link from the command line or modifying the profanity filter package yourself.

            You could also figure out what spacy link is doing and do that (or call the relevant functions) in code.



            Docker exit code: 247 when downloading spaCy's en_core_web_lg
            Asked 2021-Sep-28 at 11:49

            I am receiving an exit code: 247 when I try to build a Docker image that downloads a large file. The large file is spaCy's en_core_web_lg model.

            I have tried downloading the en_core_web_md model and that worked just fine. I also tried not downloading the lg model in the Dockerfile and instead navigate into the container and downloading it using python3 -m spacy download en_core_web_lg but it then appeard to freeze.

            I suspect the issue has to do with the model being 777.1 MB but I am not sure how to address this in the Dockerfile or build command. Any ideas?




            Answered 2021-Sep-28 at 11:49

            Allocate more memory for the Container and apply



            Why am I facing PermissionError while installing SpaCy en_core_web_sm on SSH server
            Asked 2021-Aug-26 at 05:02

            I am working on a project and have shifted my environment from local windows to a linux server (via SSH). I only have limited access as the host server is from my college, I've installed many packages without issues (both with and without virtualenv). I'm working on Python 3.6.9.

            I was able to install spacy and import it but I need to use the en_core_web_sm package which has to be installed additionally using the command python3 -m spacy download en_core_web_sm. However, I consistently face a PermissionError as seen in the logs below.

            Why am I facing this error? Is it because I don't have administrator access on the /usr level (refer to last line of logs)? If yes, how come only this package in particular requires a higher level access? If no, are there any workaround for me to install the package, or do I need to contact the server administrator?



            Answered 2021-Aug-25 at 08:45

            It seems all other packages are installed under your user /home/jiayi/.local/python3.6/lib and this one tries to install itself globally in /usr/local/lib/python3.6/, not sure why. I guess you can give it installation folder or something. Look here Where does spacy language model download?



            How to do pip install for git repos
            Asked 2021-May-26 at 14:19

            I had done a pip freeze and one of the line in requirement file is a git repo as en-core-web-lg @

            I have tried installing it with



            Answered 2021-May-26 at 14:19


            How to install optional components (anaconda, jupyter) in custom dataproc image
            Asked 2021-May-03 at 20:41

            To speed up my cluster instantiation time, I've created a custom image with all the additional dependencies installed using miniconda3 available for dataproc image 1.5.34-debian10. (I followed the steps here: GCP Dataproc custom image Python environment to ensure I used the correct python environment).

            However, when I start my cluster with --optional-components ANACONDA,JUPYTER my custom dependencies are removed and I'm left with a base installation of anaconda and jupyter. I assume the anaconda installation is overwriting my custom dependencies. Is there any way to ensure my dependencies aren't overwritten? If not, is it possible to install anaconda and jupyter as part of my custom dataproc image instead?

            I've used the following command to create the custom image:



            Answered 2021-May-03 at 20:41

            The script is the recommended way of customizing Conda env for custom images.

            If you need more than the script does, you can read the code and create your own script, but anyway you want to use the absolute path e.g., /opt/conda/anaconda/bin/conda, /opt/conda/anaconda/bin/pip, /opt/conda/miniconda3/bin/conda, /opt/conda/miniconda3/bin/pip to install/uninstall packages for the Anaconda/Miniconda env.



            spaCy model installation failed due to an EnvironmentError
            Asked 2021-Jan-17 at 00:50

            I started getting this ERROR since I added this link to my requirements file which has more than 140+ requirements, I have tried to replicate it in my Local VM, without success, there it installs without a problem as well as my colleagues, we are all able to install it and run it without replication of this error on our VM's but on the server it is going constantly. I have tried searching the google to the deep end but all I have found are metadata files missing which is not the case here. I am wondering if I am missing something very basic that I am blinded to in this case ? Thanks in advance

            Server is Ubuntu 18.04



            Answered 2021-Jan-17 at 00:50


            Where is en_core_web_sm of Python2 for spacy in Python3?
            Asked 2021-Jan-11 at 13:40

            I need to repeat an experiment. The experiment was conducted in python 2.7 and spacy 1.8.2. The following snippet give different outputs:



            Answered 2021-Jan-01 at 11:49

            In the environment of interest try:



            docker build ERROR: Could not install packages due to an EnvironmentError: [Errno 2]
            Asked 2020-Jul-08 at 16:00

            I'm getting this error when I run docker build while its processing the requirements file.



            Answered 2020-Jul-07 at 20:07


            Herokuapp fails to compile
            Asked 2020-Jun-16 at 20:00

            My app has compiled before, but now when I attempt to push new changes, it gives a warning of invalid fragment for a spacy model language package:



            Answered 2020-Jun-16 at 20:00

            So I think the pipenv version is the reason why it fails. There's a bug in the version it's using that prevents the app from compiling. The solution was to use a requirements.txt so heroku uses pip instead. Even after clearing the app's cache, it still would use the Pipfile from somewhere, so destroying the app and re-creating it with requirements.txt file resolved the issue.



            How to add a Spacy model to a requirements.txt file?
            Asked 2020-May-11 at 18:23

            I have an app that uses the Spacy model "en_core_web_sm". I have tested the app on my local machine and it works fine.

            However when I deploy it to Heroku, it gives me this error:

            "Can't find model 'en_core_web_sm'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory."

            My requirements file contains spacy==2.2.4.

            I have been doing some research on this error and found that the model needs to be downloaded separately using this command: python -m spacy download en_core_web_sm

            I have been looking for ways to add the same to my requirements.txt file but haven't been able to find one that works!

            I tried this as well - added the below to the requirements file:

            -e git://

            but it gave this error:

            "Cloning git:// to /app/.heroku/src/en-core-web-sm

            Running command git clone -q git:// /app/.heroku/src/en-core-web-sm fatal: remote error: explosion/spacy-models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz is not a valid repository name"

            Is there a way to get this Spacy model to load from the requirements file? Or any other fix that is possible?

            Thank you.



            Answered 2020-May-11 at 18:23

            Add this in your deployment step, if using docker add in Dockerfile


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install spacy-models

            To install a specific model, run the following command with the model name (for example en_core_web_sm):.
            spaCy v3.x models directory
            spaCy v3.x model comparison
            spaCy v2.x models directory
            spaCy v2.x model comparison
            Individual release notes
            In some cases, you might prefer downloading the data manually, for example to place it into a custom directory. You can download the model via your browser from the latest releases, or configure your own download script using the URL of the archive file. The archive consists of a model directory that contains another directory with the model data.


            If you're using an older version (v1.6.0 or below), you can still download and install the old models from within spaCy using python -m all or python -m all. The .tar.gz archives are also attached to the v1.6.0 release. To download and install the models manually, unpack the archive, drop the contained directory into spacy/data and load the model via spacy.load('en') or spacy.load('de').
            Find more information at:

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