Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_fake_news_fine_tuned_v4_38998102356_pipeline is a English model originally trained by systash.
How to use
pipeline = PretrainedPipeline("autotrain_fake_news_fine_tuned_v4_38998102356_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_fake_news_fine_tuned_v4_38998102356_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_fake_news_fine_tuned_v4_38998102356_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 468.6 MB |
References
https://huggingface.co/systash/autotrain-fake_news_fine_tuned_v4-38998102356
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification