Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmroberta_ner_hugsao123_base_finetuned_panx_pipeline
is a German model originally trained by hugsao123.
How to use
pipeline = PretrainedPipeline("xlmroberta_ner_hugsao123_base_finetuned_panx_pipeline", lang = "de")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmroberta_ner_hugsao123_base_finetuned_panx_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
Model Name: | xlmroberta_ner_hugsao123_base_finetuned_panx_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | de |
Size: | 826.4 MB |
References
https://huggingface.co/hugsao123/xlm-roberta-base-finetuned-panx-de
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification