Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.indobert_large_p2_finetuned_ner_pipeline is a Indonesian model originally trained by ageng-anugrah.
How to use
pipeline = PretrainedPipeline("indobert_large_p2_finetuned_ner_pipeline", lang = "id")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("indobert_large_p2_finetuned_ner_pipeline", lang = "id")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | indobert_large_p2_finetuned_ner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | id |
| Size: | 1.3 GB |
References
https://huggingface.co/ageng-anugrah/indobert-large-p2-finetuned-ner
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification