Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.kyrgyz_language_ner_pipeline is a Kirghiz, Kyrgyz model originally trained by murat.
How to use
pipeline = PretrainedPipeline("kyrgyz_language_ner_pipeline", lang = "ky")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("kyrgyz_language_ner_pipeline", lang = "ky")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | kyrgyz_language_ner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ky |
| Size: | 665.1 MB |
References
https://huggingface.co/murat/kyrgyz_language_NER
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification