Description
Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.all_mpnet_base_v2__tweet_eval_emotion__classifier_pipeline is a English model originally trained by florentgbelidji.
How to use
pipeline = PretrainedPipeline("all_mpnet_base_v2__tweet_eval_emotion__classifier_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("all_mpnet_base_v2__tweet_eval_emotion__classifier_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | all_mpnet_base_v2__tweet_eval_emotion__classifier_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.4 MB |
References
https://huggingface.co/florentgbelidji/all-mpnet-base-v2__tweet_eval_emotion__classifier
Included Models
- DocumentAssembler
- TokenizerModel
- MPNetForSequenceClassification