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  • John Snow Labs
  • Feb 06, 2025

English linnaeus_wlt_256_scibert_trial_wlt_pipeline pipeline BertForTokenClassification from mobashgr

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.linnaeus_wlt_256_scibert_trial_wlt_pipeline is a English model originally trained by mobashgr.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("linnaeus_wlt_256_scibert_trial_wlt_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("linnaeus_wlt_256_scibert_trial_wlt_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: linnaeus_wlt_256_scibert_trial_wlt_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 410.0 MB

References

https://huggingface.co/mobashgr/linnaeus-WLT-256-SciBERT-Trial-wlt

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification