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")
- Downloads last month
- 8
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.