Description
Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cs221_deberta_base_multi_label_classifier_finetuned_30_epochs_pipeline is a English model originally trained by sercetexam9.
How to use
pipeline = PretrainedPipeline("cs221_deberta_base_multi_label_classifier_finetuned_30_epochs_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("cs221_deberta_base_multi_label_classifier_finetuned_30_epochs_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | cs221_deberta_base_multi_label_classifier_finetuned_30_epochs_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 689.4 MB |
References
https://huggingface.co/sercetexam9/cs221-deberta-base-multi-label-classifier-finetuned-30-epochs
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForSequenceClassification