Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_base_securiti_dataset_3_v23_pipeline
is a English model originally trained by MugheesAwan11.
How to use
pipeline = PretrainedPipeline("bge_base_securiti_dataset_3_v23_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_base_securiti_dataset_3_v23_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | bge_base_securiti_dataset_3_v23_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 384.8 MB |
References
https://huggingface.co/MugheesAwan11/bge-base-securiti-dataset-3-v23
Included Models
- DocumentAssembler
- BGEEmbeddings