Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.folder_pipeline is a English model originally trained by M-Rehan.
How to use
pipeline = PretrainedPipeline("folder_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("folder_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | folder_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 329.7 MB |
References
https://huggingface.co/M-Rehan/folder
Included Models
- DocumentAssembler
- T5Transformer