Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmr_nepali_english_train_shuffled_1986_test2000_pipeline is a English model originally trained by patpizio.
How to use
pipeline = PretrainedPipeline("xlmr_nepali_english_train_shuffled_1986_test2000_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmr_nepali_english_train_shuffled_1986_test2000_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmr_nepali_english_train_shuffled_1986_test2000_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 817.7 MB |
References
https://huggingface.co/patpizio/xlmr-ne-en-train_shuffled-1986-test2000
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification