Description
Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.information_content_model_pipeline is a English model originally trained by onyx-dot-app.
How to use
pipeline = PretrainedPipeline("information_content_model_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("information_content_model_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | information_content_model_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.1 MB |
References
https://huggingface.co/onyx-dot-app/information-content-model
Included Models
- DocumentAssembler
- TokenizerModel
- MPNetForSequenceClassification