Public runnable examples of using John Snow Labs' NLP for Apache Spark.
|size (curr.)||280371 kB|
|license||Apache License 2.0|
Spark NLP Workshop
Showcasing notebooks and codes of how to use Spark NLP in Python and Scala.
Table of contents
- Jupyter Notebooks
- Tutorial Notebooks
- 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.
- The password to Jupyter notebook is
- The size of the image grows everytime you download a pretrained model or a pretrained pipeline. You can cleanup
~/cache_pretrainedif 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.
Take a look at our official spark-nlp page: http://nlp.johnsnowlabs.com/ for user documentation and examples
Slack community channel
If you find any example that is no longer working, please create an issue.
Apache Licence 2.0