Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_medium_amharic_finetuned_ner_pipeline is a Amharic model originally trained by rasyosef.
How to use
pipeline = PretrainedPipeline("bert_medium_amharic_finetuned_ner_pipeline", lang = "am")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_medium_amharic_finetuned_ner_pipeline", lang = "am")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_medium_amharic_finetuned_ner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | am |
| Size: | 150.7 MB |
References
https://huggingface.co/rasyosef/bert-medium-amharic-finetuned-ner
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification