Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_ner_rubertconv_toxic_editor_pipeline is a Russian model originally trained by IlyaGusev.
How to use
pipeline = PretrainedPipeline("bert_ner_rubertconv_toxic_editor_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_ner_rubertconv_toxic_editor_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_ner_rubertconv_toxic_editor_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 662.2 MB |
References
https://huggingface.co/IlyaGusev/rubertconv_toxic_editor
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification