Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.t5_pubmedqa_question_generation_pretrained_medquad_modified_pipeline is a English model originally trained by frozenwalker.
How to use
pipeline = PretrainedPipeline("t5_pubmedqa_question_generation_pretrained_medquad_modified_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("t5_pubmedqa_question_generation_pretrained_medquad_modified_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | t5_pubmedqa_question_generation_pretrained_medquad_modified_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.0 GB |
References
https://huggingface.co/frozenwalker/T5_pubmedqa_question_generation_preTrained_MedQuad_modified
Included Models
- DocumentAssembler
- T5Transformer