Edit on GitHub
  • John Snow Labs
  • Sep 05, 2024

German distilbert_base_uncased_german_chamorro_cree_entry_classification_pipeline pipeline DistilBertForSequenceClassification from reflex-project

  • de
  • open_source
  • pipeline
  • onnx

Description

Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilbert_base_uncased_german_chamorro_cree_entry_classification_pipeline is a German model originally trained by reflex-project.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("distilbert_base_uncased_german_chamorro_cree_entry_classification_pipeline", lang = "de")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("distilbert_base_uncased_german_chamorro_cree_entry_classification_pipeline", lang = "de")
val annotations = pipeline.transform(df)

Model Information

Model Name: distilbert_base_uncased_german_chamorro_cree_entry_classification_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: de
Size: 249.5 MB

References

https://huggingface.co/reflex-project/distilbert-base-uncased-german-ch-cr-entry-classification

Included Models

  • DocumentAssembler
  • TokenizerModel
  • DistilBertForSequenceClassification