Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.all_roberta_large_v1_small_talk_5_16_5_pipeline is a English model originally trained by fathyshalab.
How to use
pipeline = PretrainedPipeline("all_roberta_large_v1_small_talk_5_16_5_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("all_roberta_large_v1_small_talk_5_16_5_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | all_roberta_large_v1_small_talk_5_16_5_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/fathyshalab/all-roberta-large-v1-small_talk-5-16-5
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification