Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mobilebert_uncased_fake_news_detector_pipeline is a English model originally trained by iTzMiNOS.
How to use
pipeline = PretrainedPipeline("mobilebert_uncased_fake_news_detector_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mobilebert_uncased_fake_news_detector_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mobilebert_uncased_fake_news_detector_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 92.6 MB |
References
https://huggingface.co/iTzMiNOS/mobilebert-uncased-fake-news-detector
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification