Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmroberta_ner_base_panx_dataset_pipeline is a Japanese model originally trained by tner.
How to use
pipeline = PretrainedPipeline("xlmroberta_ner_base_panx_dataset_pipeline", lang = "ja")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmroberta_ner_base_panx_dataset_pipeline", lang = "ja")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmroberta_ner_base_panx_dataset_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ja |
| Size: | 789.7 MB |
References
https://huggingface.co/tner/xlm-roberta-base-panx-dataset-ja
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification