Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rubert_base_cased_conversational_ner_v3_pipeline
is a English model originally trained by Data-Lab.
How to use
pipeline = PretrainedPipeline("rubert_base_cased_conversational_ner_v3_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rubert_base_cased_conversational_ner_v3_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | rubert_base_cased_conversational_ner_v3_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 662.3 MB |
References
https://huggingface.co/Data-Lab/rubert-base-cased-conversational_ner-v3
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification