Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.pipeline_vit5_viquad_qg is a English model originally trained by namngo.
How to use
pipeline = PretrainedPipeline("pipeline_vit5_viquad_qg", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("pipeline_vit5_viquad_qg", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | pipeline_vit5_viquad_qg |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [document] |
| Output Labels: | [output] |
| Language: | en |
| Size: | 1.1 GB |
References
https://huggingface.co/namngo/pipeline-vit5-viquad-qg