Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.spanbert_large_cased_finetuned_ner_conll2003_pipeline is a English model originally trained by MKR-AI.
How to use
pipeline = PretrainedPipeline("spanbert_large_cased_finetuned_ner_conll2003_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("spanbert_large_cased_finetuned_ner_conll2003_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | spanbert_large_cased_finetuned_ner_conll2003_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.2 GB |
References
https://huggingface.co/MKR-AI/spanbert-large-cased-finetuned-ner-conll2003
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification