Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_eng2nep_pipeline is a Nepali (macrolanguage) model originally trained by d2niraj555.
How to use
pipeline = PretrainedPipeline("mt5_eng2nep_pipeline", lang = "ne")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mt5_eng2nep_pipeline", lang = "ne")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mt5_eng2nep_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ne |
| Size: | 2.4 GB |
References
https://huggingface.co/d2niraj555/mt5-eng2nep
Included Models
- DocumentAssembler
- T5Transformer