Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.pai_bert_base_chinese_llm_risk_detection_pipeline is a Chinese model originally trained by alibaba-pai.
How to use
pipeline = PretrainedPipeline("pai_bert_base_chinese_llm_risk_detection_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("pai_bert_base_chinese_llm_risk_detection_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | pai_bert_base_chinese_llm_risk_detection_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | zh |
| Size: | 383.3 MB |
References
https://huggingface.co/alibaba-pai/pai-bert-base-zh-llm-risk-detection
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification