Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rut5_base_sum_gazeta_finetuned_lith_pipeline is a English model originally trained by Natet.
How to use
pipeline = PretrainedPipeline("rut5_base_sum_gazeta_finetuned_lith_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rut5_base_sum_gazeta_finetuned_lith_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | rut5_base_sum_gazeta_finetuned_lith_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 991.4 MB |
References
https://huggingface.co/Natet/rut5_base_sum_gazeta-finetuned_lith
Included Models
- DocumentAssembler
- T5Transformer