Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_span_detect_syl_pipeline is a Vietnamese model originally trained by VampeeHuntee.
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_span_detect_syl_pipeline", lang = "vi")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_base_span_detect_syl_pipeline", lang = "vi")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_base_span_detect_syl_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | vi |
| Size: | 773.2 MB |
References
https://huggingface.co/VampeeHuntee/xlm-roberta-base_span_detect_syl
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification