Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sms_spam_classifier_pipeline is a Korean model originally trained by blockenters.
How to use
pipeline = PretrainedPipeline("sms_spam_classifier_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sms_spam_classifier_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sms_spam_classifier_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ko |
| Size: | 667.3 MB |
References
https://huggingface.co/blockenters/sms-spam-classifier
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification