Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.google_flan_t5_large_770_finetuned_medical_data_2_pipeline is a English model originally trained by nikhil928.
How to use
pipeline = PretrainedPipeline("google_flan_t5_large_770_finetuned_medical_data_2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("google_flan_t5_large_770_finetuned_medical_data_2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | google_flan_t5_large_770_finetuned_medical_data_2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.6 GB |
References
https://huggingface.co/nikhil928/google-flan-t5-large-770-finetuned-medical-data-2
Included Models
- DocumentAssembler
- T5Transformer