Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rubert_base_finetuned_sayula_popoluca_pipeline is a Russian model originally trained by disk0dancer.
How to use
pipeline = PretrainedPipeline("rubert_base_finetuned_sayula_popoluca_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rubert_base_finetuned_sayula_popoluca_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | rubert_base_finetuned_sayula_popoluca_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 667.3 MB |
References
https://huggingface.co/disk0dancer/ruBert-base-finetuned-pos
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification