Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmroberta_finetuned_semitic_languages_eval_rest14_english_pipeline is a English model originally trained by car13mesquita.
How to use
pipeline = PretrainedPipeline("xlmroberta_finetuned_semitic_languages_eval_rest14_english_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmroberta_finetuned_semitic_languages_eval_rest14_english_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmroberta_finetuned_semitic_languages_eval_rest14_english_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 802.3 MB |
References
https://huggingface.co/car13mesquita/xlmroberta-finetuned-sem_eval-rest14-english
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification