Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_base_citi_dataset_9k_1k_e1_pipeline
is a English model originally trained by MugheesAwan11.
How to use
pipeline = PretrainedPipeline("bge_base_citi_dataset_9k_1k_e1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_base_citi_dataset_9k_1k_e1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | bge_base_citi_dataset_9k_1k_e1_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 391.7 MB |
References
https://huggingface.co/MugheesAwan11/bge-base-citi-dataset-9k-1k-e1
Included Models
- DocumentAssembler
- BGEEmbeddings