Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.infoxlm_base_on_custom_kural_500_pipeline is a English model originally trained by bikram22pi7.
How to use
pipeline = PretrainedPipeline("infoxlm_base_on_custom_kural_500_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("infoxlm_base_on_custom_kural_500_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | infoxlm_base_on_custom_kural_500_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 777.7 MB |
References
https://huggingface.co/bikram22pi7/infoxlm-base-on-custom-kural-500
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification