Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_german_cased_cimt_location_pipeline is a German model originally trained by juliaromberg.
How to use
pipeline = PretrainedPipeline("bert_base_german_cased_cimt_location_pipeline", lang = "de")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_base_german_cased_cimt_location_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_base_german_cased_cimt_location_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | de |
| Size: | 406.9 MB |
References
https://huggingface.co/juliaromberg/bert-base-german-cased_cimt-location
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification