Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_ner_russian_pipeline is a Russian model originally trained by Gherman.
How to use
pipeline = PretrainedPipeline("bert_base_ner_russian_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_base_ner_russian_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_base_ner_russian_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 665.2 MB |
References
https://huggingface.co/Gherman/bert-base-NER-Russian
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification