Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.korean_finance_news_classifier_pipeline is a English model originally trained by Sunmin-dev.
How to use
pipeline = PretrainedPipeline("korean_finance_news_classifier_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("korean_finance_news_classifier_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | korean_finance_news_classifier_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.0 GB |
References
https://huggingface.co/Sunmin-dev/ko-finance_news_classifier
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification