Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.flan_t5_large_extraction_all_dm_2000_ep25_nonstop_pipeline is a English model originally trained by Zekunli.
How to use
pipeline = PretrainedPipeline("flan_t5_large_extraction_all_dm_2000_ep25_nonstop_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("flan_t5_large_extraction_all_dm_2000_ep25_nonstop_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | flan_t5_large_extraction_all_dm_2000_ep25_nonstop_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 3.1 GB |
References
https://huggingface.co/Zekunli/flan-t5-large-extraction-all-dm_2000-ep25-nonstop
Included Models
- DocumentAssembler
- T5Transformer