Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.section_classifier_pipeline is a French model originally trained by TakedaAIML.
How to use
pipeline = PretrainedPipeline("section_classifier_pipeline", lang = "fr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("section_classifier_pipeline", lang = "fr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | section_classifier_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fr |
| Size: | 627.8 MB |
References
https://huggingface.co/TakedaAIML/section_classifier
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification