Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_classifier_sanskrit_saskta_sub5_pipeline is a Arabic model originally trained by researchaccount.
How to use
pipeline = PretrainedPipeline("bert_classifier_sanskrit_saskta_sub5_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_classifier_sanskrit_saskta_sub5_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_classifier_sanskrit_saskta_sub5_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 610.7 MB |
References
https://huggingface.co/researchaccount/sa_sub5
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification