Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmroberta_ner_xlm_roberta_base_finetuned_ner_amharic_pipeline is a Amharic model originally trained by mbeukman.
How to use
pipeline = PretrainedPipeline("xlmroberta_ner_xlm_roberta_base_finetuned_ner_amharic_pipeline", lang = "am")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmroberta_ner_xlm_roberta_base_finetuned_ner_amharic_pipeline", lang = "am")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmroberta_ner_xlm_roberta_base_finetuned_ner_amharic_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | am |
| Size: | 772.3 MB |
References
https://huggingface.co/mbeukman/xlm-roberta-base-finetuned-ner-amharic
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification