Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.azeri_turkish_bert_ner_pipeline is a Azerbaijani model originally trained by IsmatS.
How to use
pipeline = PretrainedPipeline("azeri_turkish_bert_ner_pipeline", lang = "az")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("azeri_turkish_bert_ner_pipeline", lang = "az")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | azeri_turkish_bert_ner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | az |
| Size: | 412.5 MB |
References
https://huggingface.co/IsmatS/azeri-turkish-bert-ner
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification