Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline is a English model originally trained by anonymoussubmissions.
How to use
pipeline = PretrainedPipeline("tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 858.3 MB |
References
https://huggingface.co/anonymoussubmissions/tner-xlm-roberta-base-ontonotes5-earnings21-non-normalized
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification