Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_base_all_nli_triplet_trasul_pipeline is a English model originally trained by trasul.
How to use
pipeline = PretrainedPipeline("bge_base_all_nli_triplet_trasul_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_base_all_nli_triplet_trasul_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bge_base_all_nli_triplet_trasul_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 377.8 MB |
References
https://huggingface.co/trasul/bge-base-all-nli-triplet
Included Models
- DocumentAssembler
- BGEEmbeddings