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SpringerMaterials BERT NER multilingual

This model was fine-tuned on NER-labeled user queries from Springer Materials. The entity types supported by this model are: SUBSTANCE, PROPERTY. The fine-tuning data is available here.

Input examples

  • 🇬🇧 ethylene's phase diagram
  • 🇩🇪 Phasendiagramm des Ethylens
  • 🇷🇺 фазовая диаграмма этилена

How to use this model

from transformers import pipeline

model_checkpoint = "perevalov/SMatBERT-NER-multilingual"
token_classifier = pipeline(
    "ner", model=model_checkpoint, aggregation_strategy="simple"
)

token_classifier("boiling point of water")
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