Description
Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.trust_merged_dataset_mdeberta_v3_30epoch_pipeline is a English model originally trained by luisespinosa.
How to use
pipeline = PretrainedPipeline("trust_merged_dataset_mdeberta_v3_30epoch_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("trust_merged_dataset_mdeberta_v3_30epoch_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | trust_merged_dataset_mdeberta_v3_30epoch_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 822.8 MB |
References
https://huggingface.co/luisespinosa/trust-merged_dataset_mdeberta-v3_30epoch
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForSequenceClassification