Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_ext_large_crf_chinese_finetuned_ner_v2_pipeline is a Chinese model originally trained by gyr66.
How to use
pipeline = PretrainedPipeline("roberta_ext_large_crf_chinese_finetuned_ner_v2_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_ext_large_crf_chinese_finetuned_ner_v2_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_ext_large_crf_chinese_finetuned_ner_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | zh |
| Size: | 1.2 GB |
References
https://huggingface.co/gyr66/RoBERTa-ext-large-crf-chinese-finetuned-ner-v2
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification