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