Showcasing notebooks and codes of how to use Spark NLP in Python and Scala.

• Jupyter Notebooks
  • annotation
  • evalulation
  • training
• Tutorial Notebooks
  • Jupyter
  • Colab (for Google Colab)
• Databricks Notebooks

python3.7 -m virtualenv spark-nlp-2-4-4

If you want to experience Spark NLP and run Jupyter examples without installing anything, you can simply use our Docker image:

1- Get the docker image for spark-nlp-workshop:

docker pull johnsnowlabs/spark-nlp-workshop

2- Run the image locally with port binding.

 docker run -it --rm -p 8888:8888 -p 4040:4040 johnsnowlabs/spark-nlp-workshop

3- Open Jupyter notebooks inside your browser by using the token printed on the console.

http://localhost:8888/

• The password to Jupyter notebook is sparknlp
• The size of the image grows everytime you download a pretrained model or a pretrained pipeline. You can cleanup ~/cache_pretrained if you don't need them.
• This docker image is only meant for testing/learning purposes and should not be used in production environments. Please install Spark NLP natively.

https://github.com/JohnSnowLabs/spark-nlp

Take a look at our official spark-nlp page: http://nlp.johnsnowlabs.com/ for user documentation and examples

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If you find any example that is no longer working, please create an issue.

Apache Licence 2.0