Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_large_norwegian_info_extraction_3000_pipeline is a Norwegian model originally trained by norkart.
How to use
pipeline = PretrainedPipeline("mt5_large_norwegian_info_extraction_3000_pipeline", lang = "no")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mt5_large_norwegian_info_extraction_3000_pipeline", lang = "no")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mt5_large_norwegian_info_extraction_3000_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | no |
| Size: | 3.0 GB |
References
https://huggingface.co/norkart/mt5-large-no-info-extraction-3000
Included Models
- DocumentAssembler
- T5Transformer