Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilbert_base_uncased_idm_zphr_0st52sd_ut52ut1_plprefix0stlarge_simsp100_pipeline
is a English model originally trained by tom192180.
How to use
pipeline = PretrainedPipeline("distilbert_base_uncased_idm_zphr_0st52sd_ut52ut1_plprefix0stlarge_simsp100_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("distilbert_base_uncased_idm_zphr_0st52sd_ut52ut1_plprefix0stlarge_simsp100_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | distilbert_base_uncased_idm_zphr_0st52sd_ut52ut1_plprefix0stlarge_simsp100_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 249.7 MB |
References
https://huggingface.co/tom192180/distilbert-base-uncased_idm_zphr_0st52sd_ut52ut1_PLPrefix0stlarge_simsp100
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification