Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.summarizer_google_long_t5_tglobal_base_mesh_background_conclusion_pipeline is a English model originally trained by acmc.
How to use
pipeline = PretrainedPipeline("summarizer_google_long_t5_tglobal_base_mesh_background_conclusion_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("summarizer_google_long_t5_tglobal_base_mesh_background_conclusion_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | summarizer_google_long_t5_tglobal_base_mesh_background_conclusion_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.0 GB |
References
https://huggingface.co/acmc/summarizer_google_long-t5-tglobal-base_mesh_background_conclusion
Included Models
- DocumentAssembler
- T5Transformer