Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_token_classifier_parsbert_peymaner_pipeline is a Persian model originally trained by HooshvareLab.
How to use
pipeline = PretrainedPipeline("bert_token_classifier_parsbert_peymaner_pipeline", lang = "fa")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_token_classifier_parsbert_peymaner_pipeline", lang = "fa")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_token_classifier_parsbert_peymaner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fa |
| Size: | 606.5 MB |
References
https://huggingface.co/HooshvareLab/bert-base-parsbert-peymaner-uncased
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification