Description
Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.finetuned_deberta_own_fixed_6_epoch_32_pipeline is a English model originally trained by UO282436.
How to use
pipeline = PretrainedPipeline("finetuned_deberta_own_fixed_6_epoch_32_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("finetuned_deberta_own_fixed_6_epoch_32_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | finetuned_deberta_own_fixed_6_epoch_32_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 558.0 MB |
References
https://huggingface.co/UO282436/finetuned-deberta-own-fixed-6-epoch-32
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForSequenceClassification