Description
Pretrained XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_latin_uncased_pipeline is a Latin model originally trained by Cicciokr.
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_latin_uncased_pipeline", lang = "la")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_base_latin_uncased_pipeline", lang = "la")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_base_latin_uncased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | la |
| Size: | 916.1 MB |
References
https://huggingface.co/Cicciokr/XLM-Roberta-Base-Latin-Uncased
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaEmbeddings