Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.edos_2023_baseline_xlm_roberta_base_label_vector_pipeline is a English model originally trained by lct-rug-2022.
How to use
pipeline = PretrainedPipeline("edos_2023_baseline_xlm_roberta_base_label_vector_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("edos_2023_baseline_xlm_roberta_base_label_vector_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | edos_2023_baseline_xlm_roberta_base_label_vector_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 654.6 MB |
References
https://huggingface.co/lct-rug-2022/edos-2023-baseline-xlm-roberta-base-label_vector
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification