Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_wobert_chinese_plus_pipeline is a Chinese model originally trained by qinluo.
How to use
pipeline = PretrainedPipeline("sent_wobert_chinese_plus_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_wobert_chinese_plus_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_wobert_chinese_plus_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | zh |
| Size: | 465.0 MB |
References
https://huggingface.co/qinluo/wobert-chinese-plus
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings