Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_micro_v2_esg_v2_pipeline is a English model originally trained by elsayovita.
How to use
pipeline = PretrainedPipeline("bge_micro_v2_esg_v2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_micro_v2_esg_v2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bge_micro_v2_esg_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 55.4 MB |
References
https://huggingface.co/elsayovita/bge-micro-v2-esg-v2
Included Models
- DocumentAssembler
- BGEEmbeddings