Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.dbmdz_bert_base_italian_cased_italian_lm_pipeline is a English model originally trained by garNER.
How to use
pipeline = PretrainedPipeline("dbmdz_bert_base_italian_cased_italian_lm_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("dbmdz_bert_base_italian_cased_italian_lm_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | dbmdz_bert_base_italian_cased_italian_lm_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.8 MB |
References
https://huggingface.co/garNER/dbmdz-bert-base-italian-cased-it-LM
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification