Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.annual_report_translation_indonesian_english_pipeline
is a English model originally trained by wolfrage89.
How to use
pipeline = PretrainedPipeline("annual_report_translation_indonesian_english_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("annual_report_translation_indonesian_english_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | annual_report_translation_indonesian_english_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 480.6 MB |
References
https://huggingface.co/wolfrage89/annual_report_translation_id_en
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer