Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_base_finetuned_ukr_gec_pipeline is a Ukrainian model originally trained by schhwmn.
How to use
pipeline = PretrainedPipeline("mt5_base_finetuned_ukr_gec_pipeline", lang = "uk")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mt5_base_finetuned_ukr_gec_pipeline", lang = "uk")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mt5_base_finetuned_ukr_gec_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | uk |
| Size: | 2.3 GB |
References
https://huggingface.co/schhwmn/mt5-base-finetuned-ukr-gec
Included Models
- DocumentAssembler
- T5Transformer