README.md

metadata

metrics:
  - precision
  - recall
  - f1
pipeline_tag: token-classification
tags:
  - material science

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.

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")