Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.t5_finetuned_question_tonga_tonga_islands_answer_pipeline is a English model originally trained by mdara.
How to use
pipeline = PretrainedPipeline("t5_finetuned_question_tonga_tonga_islands_answer_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("t5_finetuned_question_tonga_tonga_islands_answer_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | t5_finetuned_question_tonga_tonga_islands_answer_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 364.7 MB |
References
https://huggingface.co/mdara/T5-finetuned-question-to-answer
Included Models
- DocumentAssembler
- T5Transformer