Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.w_en2zh_hsk_pipeline is a English model originally trained by Chun.
How to use
pipeline = PretrainedPipeline("w_en2zh_hsk_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("w_en2zh_hsk_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | w_en2zh_hsk_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 541.5 MB |
References
https://huggingface.co/Chun/w-en2zh-hsk
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer