Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.opus_maltese_english_hausa_lelapa_maltese_hausa_pipeline is a English model originally trained by danielbyiringiro.
How to use
pipeline = PretrainedPipeline("opus_maltese_english_hausa_lelapa_maltese_hausa_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("opus_maltese_english_hausa_lelapa_maltese_hausa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | opus_maltese_english_hausa_lelapa_maltese_hausa_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 391.4 MB |
References
https://huggingface.co/danielbyiringiro/opus-mt-en-ha_lelapa_mt_hausa
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer