Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multilinguswahili_bge_small_english_v1_5_nli_matryoshka_pipeline is a Swahili (macrolanguage) model originally trained by sartifyllc.
How to use
pipeline = PretrainedPipeline("multilinguswahili_bge_small_english_v1_5_nli_matryoshka_pipeline", lang = "sw")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("multilinguswahili_bge_small_english_v1_5_nli_matryoshka_pipeline", lang = "sw")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | multilinguswahili_bge_small_english_v1_5_nli_matryoshka_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sw |
| Size: | 122.9 MB |
References
https://huggingface.co/sartifyllc/MultiLinguSwahili-bge-small-en-v1.5-nli-matryoshka
Included Models
- DocumentAssembler
- BGEEmbeddings