Description
Pretrained BartTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.arxiv_summarization_fb_bart_base_2022_09_21_pipeline
is a English model originally trained by farleyknight.
How to use
pipeline = PretrainedPipeline("arxiv_summarization_fb_bart_base_2022_09_21_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("arxiv_summarization_fb_bart_base_2022_09_21_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | arxiv_summarization_fb_bart_base_2022_09_21_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 801.0 MB |
References
https://huggingface.co/farleyknight/arxiv-summarization-fb-bart-base-2022-09-21
Included Models
- DocumentAssembler
- BartTransformer