Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.t5_small_summarization_cased_pipeline is a Indonesian model originally trained by panggi.
How to use
pipeline = PretrainedPipeline("t5_small_summarization_cased_pipeline", lang = "id")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("t5_small_summarization_cased_pipeline", lang = "id")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | t5_small_summarization_cased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | id |
| Size: | 348.9 MB |
References
https://huggingface.co/panggi/t5-small-indonesian-summarization-cased
Included Models
- DocumentAssembler
- T5Transformer