Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.jpmodel_remote_work_distilbert_base_uncased_0517_pipeline is a English model originally trained by Miamiahong.
How to use
pipeline = PretrainedPipeline("jpmodel_remote_work_distilbert_base_uncased_0517_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("jpmodel_remote_work_distilbert_base_uncased_0517_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | jpmodel_remote_work_distilbert_base_uncased_0517_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 249.5 MB |
References
https://huggingface.co/Miamiahong/jpmodel_remote-work_distilbert-base-uncased_0517
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification