Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.pmc_bge_1600_pipeline is a English model originally trained by Labib11.
How to use
pipeline = PretrainedPipeline("pmc_bge_1600_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("pmc_bge_1600_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | pmc_bge_1600_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.2 GB |
References
https://huggingface.co/Labib11/PMC_bge_1600
Included Models
- DocumentAssembler
- BGEEmbeddings