Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.classification_multi_label_des_crimes_pipeline is a Arabic model originally trained by fatttty.
How to use
pipeline = PretrainedPipeline("classification_multi_label_des_crimes_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("classification_multi_label_des_crimes_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | classification_multi_label_des_crimes_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 508.7 MB |
References
https://huggingface.co/fatttty/classification_multi_label_des_crimes
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification