Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.superclass_multilang_tableclf_21may_xlm_roberta_base_baseline_pipeline is a English model originally trained by slimaneMakh.
How to use
pipeline = PretrainedPipeline("superclass_multilang_tableclf_21may_xlm_roberta_base_baseline_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("superclass_multilang_tableclf_21may_xlm_roberta_base_baseline_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | superclass_multilang_tableclf_21may_xlm_roberta_base_baseline_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 861.4 MB |
References
https://huggingface.co/slimaneMakh/superClass_multiLang_tableClf_21may_xlm-roberta-base_BASELINE
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification