Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multi_label_class_classification_on_github_issues_pipeline is a English model originally trained by Rami.
How to use
pipeline = PretrainedPipeline("multi_label_class_classification_on_github_issues_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("multi_label_class_classification_on_github_issues_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | multi_label_class_classification_on_github_issues_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 411.5 MB |
References
https://huggingface.co/Rami/multi-label-class-classification-on-github-issues
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification