Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.text2vec_bge_large_chinese_pipeline is a Chinese model originally trained by shibing624.
How to use
pipeline = PretrainedPipeline("text2vec_bge_large_chinese_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("text2vec_bge_large_chinese_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | text2vec_bge_large_chinese_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | zh |
| Size: | 1.2 GB |
References
https://huggingface.co/shibing624/text2vec-bge-large-chinese
Included Models
- DocumentAssembler
- BGEEmbeddings