Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.beto_finetuned_ner_1_pln_t4_j_d_w_pipeline is a English model originally trained by PLN-T4-J-D-W.
How to use
pipeline = PretrainedPipeline("beto_finetuned_ner_1_pln_t4_j_d_w_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("beto_finetuned_ner_1_pln_t4_j_d_w_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | beto_finetuned_ner_1_pln_t4_j_d_w_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.5 MB |
References
https://huggingface.co/PLN-T4-J-D-W/beto-finetuned-ner-1
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification