Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.helsinki_nlp_opus_maltese_uyghur_pipeline is a English model originally trained by MT-Informal-Languages.
How to use
pipeline = PretrainedPipeline("helsinki_nlp_opus_maltese_uyghur_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("helsinki_nlp_opus_maltese_uyghur_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | helsinki_nlp_opus_maltese_uyghur_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 533.1 MB |
References
https://huggingface.co/MT-Informal-Languages/Helsinki-NLP-opus-mt-ug
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer