Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_okr_iptal_v3_47629116653_pipeline is a English model originally trained by ekincanozcelik.
How to use
pipeline = PretrainedPipeline("autotrain_okr_iptal_v3_47629116653_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_okr_iptal_v3_47629116653_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_okr_iptal_v3_47629116653_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 778.0 MB |
References
https://huggingface.co/ekincanozcelik/autotrain-okr_iptal_v3-47629116653
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification