Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ke_t5_base_newslike_pipeline is a Korean model originally trained by KETI-AIR.
How to use
pipeline = PretrainedPipeline("ke_t5_base_newslike_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ke_t5_base_newslike_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ke_t5_base_newslike_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ko |
| Size: | 662.8 MB |
References
https://huggingface.co/KETI-AIR/ke-t5-base-newslike
Included Models
- DocumentAssembler
- T5Transformer