Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.medical_summarization_finetuned_medical_summary_pipeline is a English model originally trained by smiling-pranjal.
How to use
pipeline = PretrainedPipeline("medical_summarization_finetuned_medical_summary_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("medical_summarization_finetuned_medical_summary_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | medical_summarization_finetuned_medical_summary_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 284.9 MB |
References
https://huggingface.co/smiling-pranjal/medical_summarization-finetuned-Medical-summary
Included Models
- DocumentAssembler
- T5Transformer