Description
Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_base_financial_matryoshka_test_burmese_pipeline is a Burmese model originally trained by IlhamEbdesk.
How to use
pipeline = PretrainedPipeline("bge_base_financial_matryoshka_test_burmese_pipeline", lang = "my")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_base_financial_matryoshka_test_burmese_pipeline", lang = "my")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bge_base_financial_matryoshka_test_burmese_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | my |
| Size: | 375.9 MB |
References
https://huggingface.co/IlhamEbdesk/bge-base-financial-matryoshka_test_my
Included Models
- DocumentAssembler
- BGEEmbeddings