Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sentiment_analysis_with_klue_bert_base_pipeline is a Korean model originally trained by dudcjs2779.
How to use
pipeline = PretrainedPipeline("sentiment_analysis_with_klue_bert_base_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sentiment_analysis_with_klue_bert_base_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sentiment_analysis_with_klue_bert_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ko |
| Size: | 414.7 MB |
References
https://huggingface.co/dudcjs2779/sentiment-analysis-with-klue-bert-base
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification