Description
Pretrained AlbertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.albert_mongolian_pipeline is a Mongolian model originally trained by bayartsogt.
How to use
pipeline = PretrainedPipeline("albert_mongolian_pipeline", lang = "mn")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("albert_mongolian_pipeline", lang = "mn")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | albert_mongolian_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | mn |
| Size: | 42.1 MB |
References
https://huggingface.co/bayartsogt/albert-mongolian
Included Models
- DocumentAssembler
- TokenizerModel
- AlbertEmbeddings