Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.t5_base_bahasa_cased_pipeline is a Malay (macrolanguage) model originally trained by mesolitica.
How to use
pipeline = PretrainedPipeline("t5_base_bahasa_cased_pipeline", lang = "ms")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("t5_base_bahasa_cased_pipeline", lang = "ms")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | t5_base_bahasa_cased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ms |
| Size: | 520.0 MB |
References
https://huggingface.co/mesolitica/t5-base-bahasa-cased
Included Models
- DocumentAssembler
- T5Transformer