Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_base_english_v1_5_klej_dyk_v0_2_pipeline is a English model originally trained by ve88ifz2.
How to use
pipeline = PretrainedPipeline("bge_base_english_v1_5_klej_dyk_v0_2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_base_english_v1_5_klej_dyk_v0_2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bge_base_english_v1_5_klej_dyk_v0_2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 385.6 MB |
References
https://huggingface.co/ve88ifz2/bge-base-en-v1.5-klej-dyk-v0.2
Included Models
- DocumentAssembler
- BGEEmbeddings