Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_small_finetuned_mt5_gec_spanish_rosi_si_pipeline is a English model originally trained by Rosi-si.
How to use
pipeline = PretrainedPipeline("mt5_small_finetuned_mt5_gec_spanish_rosi_si_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mt5_small_finetuned_mt5_gec_spanish_rosi_si_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mt5_small_finetuned_mt5_gec_spanish_rosi_si_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/Rosi-si/mt5-small-finetuned_MT5-GEC_ES
Included Models
- DocumentAssembler
- T5Transformer