Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bcms_bertic_comtext_serbian_legal_msd_ekavica_pipeline is a Serbian model originally trained by ICEF-NLP.
How to use
pipeline = PretrainedPipeline("bcms_bertic_comtext_serbian_legal_msd_ekavica_pipeline", lang = "sr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bcms_bertic_comtext_serbian_legal_msd_ekavica_pipeline", lang = "sr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bcms_bertic_comtext_serbian_legal_msd_ekavica_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sr |
| Size: | 414.0 MB |
References
https://huggingface.co/ICEF-NLP/bcms-bertic-comtext-sr-legal-msd-ekavica
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification