Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_cased_nepal_bhasa_pipeline
is a English model originally trained by m24coffee.
How to use
pipeline = PretrainedPipeline("bert_cased_nepal_bhasa_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_cased_nepal_bhasa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | bert_cased_nepal_bhasa_pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [class] |
Language: | en |
Size: | 246.0 MB |
References
https://huggingface.co/m24coffee/bert-cased-new-pipeline