Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline is a English model originally trained by anamelchor.
How to use
pipeline = PretrainedPipeline("tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 828.2 MB |
References
https://huggingface.co/anamelchor/tner-xlm-roberta-base-uncased-all-english-finetuned-rte
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification