Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.finetuned_bge_embeddings_v3_llm_embedder_pipeline is a English model originally trained by austinpatrickm.
How to use
pipeline = PretrainedPipeline("finetuned_bge_embeddings_v3_llm_embedder_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("finetuned_bge_embeddings_v3_llm_embedder_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | finetuned_bge_embeddings_v3_llm_embedder_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 387.2 MB |
References
https://huggingface.co/austinpatrickm/finetuned_bge_embeddings_v3_LLM-embedder
Included Models
- DocumentAssembler
- BGEEmbeddings