Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.erlangshen_roberta_330m_causal_chinese_pipeline is a Chinese model originally trained by IDEA-CCNL.
How to use
pipeline = PretrainedPipeline("erlangshen_roberta_330m_causal_chinese_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("erlangshen_roberta_330m_causal_chinese_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | erlangshen_roberta_330m_causal_chinese_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | zh |
| Size: | 1.2 GB |
References
https://huggingface.co/IDEA-CCNL/Erlangshen-Roberta-330M-Causal-Chinese
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification