Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.affilgood_ner_multilingual_pipeline is a Multilingual model originally trained by SIRIS-Lab.
How to use
pipeline = PretrainedPipeline("affilgood_ner_multilingual_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("affilgood_ner_multilingual_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | affilgood_ner_multilingual_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 1.0 GB |
References
https://huggingface.co/SIRIS-Lab/affilgood-NER-multilingual
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification