Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.output_dir_train_on_subset_pipeline is a English model originally trained by LGLT.
How to use
pipeline = PretrainedPipeline("output_dir_train_on_subset_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("output_dir_train_on_subset_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | output_dir_train_on_subset_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 821.9 MB |
References
https://huggingface.co/LGLT/output_dir_train_on_subset
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification