Description
Pretrained BartTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bart_base_tweetsummgen_xsum_conv_cl_top25_3rd_seed33_pipeline is a English model originally trained by PSW.
How to use
pipeline = PretrainedPipeline("bart_base_tweetsummgen_xsum_conv_cl_top25_3rd_seed33_pipeline", lang = "en")
annotations =  pipeline.transform(df)   
val pipeline = new PretrainedPipeline("bart_base_tweetsummgen_xsum_conv_cl_top25_3rd_seed33_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bart_base_tweetsummgen_xsum_conv_cl_top25_3rd_seed33_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.5.1+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | en | 
| Size: | 810.4 MB | 
References
https://huggingface.co/PSW/bart-base-tweetsummgen-xsum-conv-cl-top25-3rd-seed33
Included Models
- DocumentAssembler
- BartTransformer