Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_korean_albert_base_v1_pipeline is a Korean model originally trained by lots-o.
How to use
pipeline = PretrainedPipeline("sent_korean_albert_base_v1_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_korean_albert_base_v1_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_korean_albert_base_v1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ko |
| Size: | 48.3 MB |
References
https://huggingface.co/lots-o/ko-albert-base-v1
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings