Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.opus_maltese_finetuned_indonesian_tonga_tonga_islands_javanese_pipeline is a Javanese model originally trained by hermanshid.
How to use
pipeline = PretrainedPipeline("opus_maltese_finetuned_indonesian_tonga_tonga_islands_javanese_pipeline", lang = "jv")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("opus_maltese_finetuned_indonesian_tonga_tonga_islands_javanese_pipeline", lang = "jv")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | opus_maltese_finetuned_indonesian_tonga_tonga_islands_javanese_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | jv |
| Size: | 508.0 MB |
References
https://huggingface.co/hermanshid/opus-mt-finetuned-id-to-jv
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer