Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.paws_x_xlm_r_only_english_pipeline
is a English model originally trained by semindan.
How to use
pipeline = PretrainedPipeline("paws_x_xlm_r_only_english_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("paws_x_xlm_r_only_english_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | paws_x_xlm_r_only_english_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 800.5 MB |
References
https://huggingface.co/semindan/paws_x_xlm_r_only_en
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification