Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.long_t5_tglobal_16k_annual_reports_v1_pipeline is a English model originally trained by IronOne-AI-Labs.
How to use
pipeline = PretrainedPipeline("long_t5_tglobal_16k_annual_reports_v1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("long_t5_tglobal_16k_annual_reports_v1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | long_t5_tglobal_16k_annual_reports_v1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.0 GB |
References
https://huggingface.co/IronOne-AI-Labs/long-t5-tglobal-16k-annual-reports-v1
Included Models
- DocumentAssembler
- T5Transformer