Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.crocus_bert_medical_department_classification_pipeline is a Turkish model originally trained by caesarCITREA.
How to use
pipeline = PretrainedPipeline("crocus_bert_medical_department_classification_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("crocus_bert_medical_department_classification_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | crocus_bert_medical_department_classification_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
| Size: | 414.8 MB |
References
https://huggingface.co/caesarCITREA/crocus-bert-medical-department-classification
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification