Description
Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.012_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline is a English model originally trained by diogopaes10.
How to use
pipeline = PretrainedPipeline("012_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("012_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | 012_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 615.4 MB |
References
https://huggingface.co/diogopaes10/012-microsoft-deberta-v3-base-finetuned-yahoo-8000_2000
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForSequenceClassification