Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.burmese_lenta_model_russian_mt5_base_4_epochs_pipeline is a Russian model originally trained by i-k-a.
How to use
pipeline = PretrainedPipeline("burmese_lenta_model_russian_mt5_base_4_epochs_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("burmese_lenta_model_russian_mt5_base_4_epochs_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | burmese_lenta_model_russian_mt5_base_4_epochs_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 2.3 GB |
References
https://huggingface.co/i-k-a/my_lenta_model_ru_mt5-base_4_epochs
Included Models
- DocumentAssembler
- T5Transformer