Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.replica_classification_pipeline is a Russian model originally trained by TeraSpace.
How to use
pipeline = PretrainedPipeline("replica_classification_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("replica_classification_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | replica_classification_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 524.5 MB |
References
https://huggingface.co/TeraSpace/replica_classification
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification