Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.opus_maltese_japanese_polish_pop_pipeline is a Polish model originally trained by Vimek.
How to use
pipeline = PretrainedPipeline("opus_maltese_japanese_polish_pop_pipeline", lang = "pl")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("opus_maltese_japanese_polish_pop_pipeline", lang = "pl")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | opus_maltese_japanese_polish_pop_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | pl |
| Size: | 541.3 MB |
References
https://huggingface.co/Vimek/opus-mt-ja-pl-pop
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer