Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.russian_sensitive_topics_pipeline is a Russian model originally trained by Den4ikAI.
How to use
pipeline = PretrainedPipeline("russian_sensitive_topics_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("russian_sensitive_topics_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | russian_sensitive_topics_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 1.6 GB |
References
https://huggingface.co/Den4ikAI/russian_sensitive_topics
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification