Description
Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_xlm_roberta_base_latin_uncased_pipeline
is a Latin model originally trained by Cicciokr.
How to use
pipeline = PretrainedPipeline("sent_xlm_roberta_base_latin_uncased_pipeline", lang = "la")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_xlm_roberta_base_latin_uncased_pipeline", lang = "la")
val annotations = pipeline.transform(df)
Model Information
Model Name: | sent_xlm_roberta_base_latin_uncased_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | la |
Size: | 916.7 MB |
References
https://huggingface.co/Cicciokr/XLM-Roberta-Base-Latin-Uncased
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- XlmRoBertaSentenceEmbeddings