Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.nerkor_cars_onpp_hubert_pipeline
is a Hungarian model originally trained by novakat.
How to use
pipeline = PretrainedPipeline("nerkor_cars_onpp_hubert_pipeline", lang = "hu")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("nerkor_cars_onpp_hubert_pipeline", lang = "hu")
val annotations = pipeline.transform(df)
Model Information
Model Name: | nerkor_cars_onpp_hubert_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | hu |
Size: | 412.7 MB |
References
https://huggingface.co/novakat/nerkor-cars-onpp-hubert
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification