Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_small_english_multiplrrankingloss_30_rag_paper_dataset_pipeline is a English model originally trained by Areeb-02.
How to use
pipeline = PretrainedPipeline("bge_small_english_multiplrrankingloss_30_rag_paper_dataset_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_small_english_multiplrrankingloss_30_rag_paper_dataset_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bge_small_english_multiplrrankingloss_30_rag_paper_dataset_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 112.3 MB |
References
https://huggingface.co/Areeb-02/bge-small-en-MultiplrRankingLoss-30-Rag-paper-dataset
Included Models
- DocumentAssembler
- BGEEmbeddings