Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mbert_base_finetuned_sayula_popoluca_ud_coptic_scriptorium_pipeline is a English model originally trained by TokenfreeEMNLPSubmission.
How to use
pipeline = PretrainedPipeline("mbert_base_finetuned_sayula_popoluca_ud_coptic_scriptorium_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mbert_base_finetuned_sayula_popoluca_ud_coptic_scriptorium_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mbert_base_finetuned_sayula_popoluca_ud_coptic_scriptorium_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 665.1 MB |
References
https://huggingface.co/TokenfreeEMNLPSubmission/mbert-base-finetuned-pos-ud-coptic-scriptorium
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification