Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.opus_maltese_ganda_english_uganda_multilingual_pipeline is a Multilingual model originally trained by MubarakB.
How to use
pipeline = PretrainedPipeline("opus_maltese_ganda_english_uganda_multilingual_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("opus_maltese_ganda_english_uganda_multilingual_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | opus_maltese_ganda_english_uganda_multilingual_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 532.6 MB |
References
https://huggingface.co/MubarakB/opus-mt-lg-en-uganda-multilingual
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer