Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmroberta_classifier_base_snli_mnli_anli_xnli_pipeline is a Multilingual model originally trained by symanto.
How to use
pipeline = PretrainedPipeline("xlmroberta_classifier_base_snli_mnli_anli_xnli_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmroberta_classifier_base_snli_mnli_anli_xnli_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmroberta_classifier_base_snli_mnli_anli_xnli_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 899.7 MB |
References
https://huggingface.co/symanto/xlm-roberta-base-snli-mnli-anli-xnli
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification