Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.marianmt_finetuned_english_tonga_tonga_islands_congo_swahili_pipeline is a English model originally trained by Kolade1.
How to use
pipeline = PretrainedPipeline("marianmt_finetuned_english_tonga_tonga_islands_congo_swahili_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("marianmt_finetuned_english_tonga_tonga_islands_congo_swahili_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | marianmt_finetuned_english_tonga_tonga_islands_congo_swahili_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 394.9 MB |
References
https://huggingface.co/Kolade1/MarianMT-finetuned-en-to-swc
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer