Edit on GitHub
  • John Snow Labs
  • Jan 29, 2025

German weak_ingredient_recognition_bert_base_cased_german_pipeline pipeline BertForTokenClassification from chefkoch24

  • de
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.weak_ingredient_recognition_bert_base_cased_german_pipeline is a German model originally trained by chefkoch24.

Download Copy S3 URI

How to use


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



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

Model Information

Model Name: weak_ingredient_recognition_bert_base_cased_german_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: de
Size: 406.9 MB

References

https://huggingface.co/chefkoch24/weak-ingredient-recognition-bert-base-cased-german

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification