Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmroberta_classifier_autonlp_fake_news_detection_system_29906863_pipeline is a Hindi model originally trained by rohansingh.
How to use
pipeline = PretrainedPipeline("xlmroberta_classifier_autonlp_fake_news_detection_system_29906863_pipeline", lang = "hi")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmroberta_classifier_autonlp_fake_news_detection_system_29906863_pipeline", lang = "hi")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmroberta_classifier_autonlp_fake_news_detection_system_29906863_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | hi |
| Size: | 786.9 MB |
References
https://huggingface.co/rohansingh/autonlp-Fake-news-detection-system-29906863
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification