Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_multi_base_uncased_finetuned_sayula_popoluca_kyrgyz_pipeline is a English model originally trained by Justice0893.
How to use
pipeline = PretrainedPipeline("bert_multi_base_uncased_finetuned_sayula_popoluca_kyrgyz_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_multi_base_uncased_finetuned_sayula_popoluca_kyrgyz_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_multi_base_uncased_finetuned_sayula_popoluca_kyrgyz_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 625.6 MB |
References
https://huggingface.co/Justice0893/bert-multi-base-uncased-finetuned-pos-ky
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification