Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_sanskrit_saskta_spanish_pipeline is a Castilian, Spanish model originally trained by MMG.
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_sanskrit_saskta_spanish_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_base_sanskrit_saskta_spanish_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_base_sanskrit_saskta_spanish_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 836.0 MB |
References
https://huggingface.co/MMG/xlm-roberta-base-sa-spanish
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification