Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.biolinkbert_base_ner_bc5cdr_d_zs_pipeline is a English model originally trained by 68611-llm-annotation-group.
How to use
pipeline = PretrainedPipeline("biolinkbert_base_ner_bc5cdr_d_zs_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("biolinkbert_base_ner_bc5cdr_d_zs_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | biolinkbert_base_ner_bc5cdr_d_zs_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 403.5 MB |
References
https://huggingface.co/68611-llm-annotation-group/BioLinkBERT-base-NER-BC5CDR_D-ZS
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification