Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_finetuned_germeval_14_4_labels_pipeline is a English model originally trained by stefanieZ.
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_germeval_14_4_labels_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_germeval_14_4_labels_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_base_finetuned_germeval_14_4_labels_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 861.2 MB |
References
https://huggingface.co/stefanieZ/xlm-roberta-base-finetuned-germeval-14-4-labels
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification