Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_micro_v2_taylorai_pipeline is a English model originally trained by TaylorAI.
How to use
pipeline = PretrainedPipeline("bge_micro_v2_taylorai_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_micro_v2_taylorai_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bge_micro_v2_taylorai_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 41.5 MB |
References
https://huggingface.co/TaylorAI/bge-micro-v2
Included Models
- DocumentAssembler
- BGEEmbeddings