Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.arat5_msaizer_pipeline is a Arabic model originally trained by Murhaf.
How to use
pipeline = PretrainedPipeline("arat5_msaizer_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("arat5_msaizer_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | arat5_msaizer_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 1.6 GB |
References
https://huggingface.co/Murhaf/AraT5-MSAizer
Included Models
- DocumentAssembler
- T5Transformer