Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.robert_bilstm_mega_res_ner_msra_ner_pipeline is a English model originally trained by PassbyGrocer.
How to use
pipeline = PretrainedPipeline("robert_bilstm_mega_res_ner_msra_ner_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("robert_bilstm_mega_res_ner_msra_ner_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | robert_bilstm_mega_res_ner_msra_ner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.2 GB |
References
https://huggingface.co/PassbyGrocer/robert_bilstm_mega_res-ner-msra-ner
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification