Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.article_50v3_ner_model_3epochs_unaugmented_pipeline is a English model originally trained by DOOGLAK.
How to use
pipeline = PretrainedPipeline("article_50v3_ner_model_3epochs_unaugmented_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("article_50v3_ner_model_3epochs_unaugmented_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | article_50v3_ner_model_3epochs_unaugmented_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 403.7 MB |
References
https://huggingface.co/DOOGLAK/Article_50v3_NER_Model_3Epochs_UNAUGMENTED
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification