Spacy Nlp = Spacy.load("en_core_web_lg")
Solution 1:
For a Linux system run the below code in terminal if you would be using a virtual environment else skip first and second command :
python -m venv .envsource .env/bin/activate
pip install -U spacy
python -m spacy download en_core_web_lg
The downloaded language model can be found at :
/usr/local/lib/python3.6/dist-packages/en_core_web_lg --> /usr/local/lib/python3.6/dist-packages/spacy/data/en_core_web_lg
For more documentation information refer https://spacy.io/usage
Hope it was helpful.
Solution 2:
Commands to install any package from spacy check here about en_ore_web_lg ~800MB:
python -m spacy download en
python -m spacy download en_core_web_sm
Solution 3:
In case pip install en_core_web_sm worked fine for you. You could apply en_core_web_sm.load() and store this into variable which will work similar to the command you are trying to do.
Failure of spacy.load could be due to the path setup for getting the library.
For more details you can read : I have explained custom NER in detail too.
Solution 4:
importen_core_web_smnlp= en_core_web_sm.load()
If this works, it'd indicate that the problem is related to the way spaCy detects installed packages. If it doesn't work and gives you an ImportError, it means that the Python environment the model was installed in is not the same as your Jupyter environment.
Also, maybe double-check that the model installed correctly? Models are installed as Python packages by running pip in a subprocess. And pip errors can sometimes be a bit subtle and not immediately obvious in the output.
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