dl-ner.ipynb incorrect start and download with `pipeline_fast_dl`
Chertushkin opened this issue · 1 comments
Chertushkin commented
PipelineModel with stages does not load
Steps to Reproduce
- Pull and run the docker
- Run notebook https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/jupyter/annotation/english/model-downloader/dl-ner.ipynb
- Try to launch the cell №3. You will get the exception on
spark.createDataFrame
saying thatspark
is not available. There is a quick fix: in the cell №2 you need to changesparknlp.start()
tospark = sparknlp.start()
. After that you can proceed forward. - Then try to launch the cell №4. You will get the exception saying that resource failed to download. Therefore,
pipeline_fast_dl
will not be initialized.
Your Environment
- Spark-NLP version: 2.0.3
- Apache Spark version: 2.4.1
- Operating System and version: The latest Docker
- Deployment (Docker, Jupyter, Scala, pip, conda, etc.): I have pulled the latest docker as described on the main page.
maziyarpanahi commented
This has been resolved in the latest Docker image. Both notebooks now work in model-downloader
directory.