Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.dbbert_pipeline is a Modern Greek (1453-) model originally trained by colinswaelens.
How to use
pipeline = PretrainedPipeline("dbbert_pipeline", lang = "el")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("dbbert_pipeline", lang = "el")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | dbbert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | el |
| Size: | 408.3 MB |
References
https://huggingface.co/colinswaelens/DBBErt
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification