Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.aes_enem_models_sourcea_regression_from_bertimbau_large_c5_pipeline is a English model originally trained by kamel-usp.
How to use
pipeline = PretrainedPipeline("aes_enem_models_sourcea_regression_from_bertimbau_large_c5_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("aes_enem_models_sourcea_regression_from_bertimbau_large_c5_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | aes_enem_models_sourcea_regression_from_bertimbau_large_c5_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/kamel-usp/aes_enem_models-sourceA-regression-from-bertimbau-large-C5
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification