Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.clinico_xlm_roberta_large_finetuned_augmented1_pipeline is a English model originally trained by joheras.
How to use
pipeline = PretrainedPipeline("clinico_xlm_roberta_large_finetuned_augmented1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("clinico_xlm_roberta_large_finetuned_augmented1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | clinico_xlm_roberta_large_finetuned_augmented1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 990.7 MB |
References
https://huggingface.co/joheras/clinico-xlm-roberta-large-finetuned-augmented1
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification