Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cs505_nercoqe_xlm_subject_pipeline is a English model originally trained by ThuyNT03.
How to use
pipeline = PretrainedPipeline("cs505_nercoqe_xlm_subject_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("cs505_nercoqe_xlm_subject_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | cs505_nercoqe_xlm_subject_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 770.2 MB |
References
https://huggingface.co/ThuyNT03/CS505-NerCOQE-xlm-Subject
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification