Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.setfit_model_feb11_misinformation_on_media_traditional_social_pipeline
is a English model originally trained by mitra-mir.
How to use
pipeline = PretrainedPipeline("setfit_model_feb11_misinformation_on_media_traditional_social_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("setfit_model_feb11_misinformation_on_media_traditional_social_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | setfit_model_feb11_misinformation_on_media_traditional_social_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 406.8 MB |
References
https://huggingface.co/mitra-mir/setfit-model-Feb11-Misinformation-on-Media-Traditional-Social
Included Models
- DocumentAssembler
- MPNetEmbeddings