If you don't have time to cover all these, please check the follwing notebook for a quick review.
3-hr summary of entire package
00.SparkNLP_for_OpenSource_3h_Notebook.ipynb
02.0.Text_Preprocessing_with_SparkNLP_Annotators_Transformers.ipynb
03.0.SparkNLP_Pretrained_Models.ipynb
04.2.Transformers_for_Token_Classification_in_SparkNLP.ipynb
04.3.Import_Transformers_Into_SparkNLP.ipynb
05.0.Text_Classification_with_ClassifierDL.ipynb
05.1.Text_Classification_Examples_in_SparkML_SparkNLP.ipynb
05.2.Transformers_for_Sequence_Classification_in_Spark_NLP.ipynb
05.3.Multi_Lingual_Training_and_Models.ipynb
05.4.ZeroShot_Text_Classification.ipynb
06.0.Text_Similarities_and_Dimension_Reduction_Visualizations_for_Embeddings.ipynb
12.0.NLU_Crashcourse_Every_SparkNLP_Model_in_One_Line.ipynb
13.0.T5_Question_Answering_and_Summarization_with_SparkNLP.ipynb
13.1.T5_Workshop_with_SparkNLP.ipynb
13.2.T5_SQL_Code_Generation_and_Style_Transfer_with_SparkNLP.ipynb
14.0.GPT2_Transformer_In_SparkNLP.ipynb
15.1.Table_Question_Answering.ipynb
16.0.Image_Classification.ipynb
07.0.Context_Spell_Checker.ipynb
08.0.Keyword_Extraction_YAKE.ipynb
19.0.Llama2_Transformer_In_SparkNLP.ipynb
[20.0.Translations.ipynb](https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/open-source-nlp/20.0.Translations .ipynb)