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