Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_base_financial_matryoshka_prateek_genpact_pipeline is a English model originally trained by prateek-genpact.
How to use
pipeline = PretrainedPipeline("bge_base_financial_matryoshka_prateek_genpact_pipeline", lang = "en")
annotations =  pipeline.transform(df)   
val pipeline = new PretrainedPipeline("bge_base_financial_matryoshka_prateek_genpact_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bge_base_financial_matryoshka_prateek_genpact_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.5.1+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | en | 
| Size: | 387.1 MB | 
References
https://huggingface.co/prateek-genpact/bge-base-financial-matryoshka
Included Models
- DocumentAssembler
- BGEEmbeddings