Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rupunct_small_pipeline is a Russian model originally trained by RUPunct.
How to use
pipeline = PretrainedPipeline("rupunct_small_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rupunct_small_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | rupunct_small_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 109.2 MB |
References
https://huggingface.co/RUPunct/RUPunct_small
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification