Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.marathi_marh_least_haitian_1m_pipeline
is a Marathi model originally trained by l3cube-pune.
How to use
pipeline = PretrainedPipeline("marathi_marh_least_haitian_1m_pipeline", lang = "mr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("marathi_marh_least_haitian_1m_pipeline", lang = "mr")
val annotations = pipeline.transform(df)
Model Information
Model Name: | marathi_marh_least_haitian_1m_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | mr |
Size: | 890.7 MB |
References
https://huggingface.co/l3cube-pune/mr-least-ht-1m
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings