Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.halacha_siman_seif_classifier_pipeline is a Hebrew model originally trained by sivan22.
How to use
pipeline = PretrainedPipeline("halacha_siman_seif_classifier_pipeline", lang = "he")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("halacha_siman_seif_classifier_pipeline", lang = "he")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | halacha_siman_seif_classifier_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | he |
| Size: | 704.2 MB |
References
https://huggingface.co/sivan22/halacha-siman-seif-classifier
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification