Description
Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mdeberta_v3_base_triplet_critic_xnli_pipeline is a Multilingual model originally trained by Babelscape.
How to use
pipeline = PretrainedPipeline("mdeberta_v3_base_triplet_critic_xnli_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mdeberta_v3_base_triplet_critic_xnli_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mdeberta_v3_base_triplet_critic_xnli_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 907.5 MB |
References
https://huggingface.co/Babelscape/mdeberta-v3-base-triplet-critic-xnli
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForSequenceClassification