Description
Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bm_french_pipeline is a Bambara model originally trained by Ife.
How to use
pipeline = PretrainedPipeline("bm_french_pipeline", lang = "bm")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bm_french_pipeline", lang = "bm")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bm_french_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | bm |
| Size: | 508.3 MB |
References
https://huggingface.co/Ife/BM-FR
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- MarianTransformer