Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmroberta_ner_k3nneth_base_finetuned_panx_pipeline is a German model originally trained by k3nneth.
How to use
pipeline = PretrainedPipeline("xlmroberta_ner_k3nneth_base_finetuned_panx_pipeline", lang = "de")
annotations =  pipeline.transform(df)   
val pipeline = new PretrainedPipeline("xlmroberta_ner_k3nneth_base_finetuned_panx_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmroberta_ner_k3nneth_base_finetuned_panx_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.4.2+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | de | 
| Size: | 853.8 MB | 
References
https://huggingface.co/k3nneth/xlm-roberta-base-finetuned-panx-de
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification