Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mobilebert_sanskrit_saskta_glue_experiment_logit_kd_rte_256_pipeline is a English model originally trained by gokuls.
How to use
pipeline = PretrainedPipeline("mobilebert_sanskrit_saskta_glue_experiment_logit_kd_rte_256_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mobilebert_sanskrit_saskta_glue_experiment_logit_kd_rte_256_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mobilebert_sanskrit_saskta_glue_experiment_logit_kd_rte_256_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 79.6 MB |
References
https://huggingface.co/gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_rte_256
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification