Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_sayula_popoluca_bert_base_han_chinese_sayula_popoluca_pipeline is a Chinese model originally trained by ckiplab.
How to use
pipeline = PretrainedPipeline("bert_sayula_popoluca_bert_base_han_chinese_sayula_popoluca_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_sayula_popoluca_bert_base_han_chinese_sayula_popoluca_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_sayula_popoluca_bert_base_han_chinese_sayula_popoluca_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | zh |
| Size: | 396.9 MB |
References
https://huggingface.co/ckiplab/bert-base-han-chinese-pos
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification