Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.letz_translate_opus_luxembourgish_english_pipeline is a Letzeburgesch, Luxembourgish model originally trained by etamin.
How to use
pipeline = PretrainedPipeline("letz_translate_opus_luxembourgish_english_pipeline", lang = "lb")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("letz_translate_opus_luxembourgish_english_pipeline", lang = "lb")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | letz_translate_opus_luxembourgish_english_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | lb |
| Size: | 500.3 MB |
References
https://huggingface.co/etamin/Letz-Translate-OPUS-LB-EN
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer