Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.topic_class_indo_bank_pipeline
is a Indonesian model originally trained by dhanikitkat.
How to use
pipeline = PretrainedPipeline("topic_class_indo_bank_pipeline", lang = "id")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("topic_class_indo_bank_pipeline", lang = "id")
val annotations = pipeline.transform(df)
Model Information
Model Name: | topic_class_indo_bank_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | id |
Size: | 308.4 MB |
References
https://huggingface.co/dhanikitkat/topic-class-indo-bank
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification