Downloads · 30 days
8
12% of all-time downloads
SMatBERT-NER-multilingual
perevalov/SMatBERT-NER-multilingual
SMatBERT-NER-multilingual is a token classification model from perevalov. Use it when you need labels on individual words, such as names. It is set up for transformers.
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.
All-time downloads
68
Public
Parameters
177M
4.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors709 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 20, 2023
- Updated
- Nov 22, 2023
- SHA
- 1e2e1f66
Try a prompt
Model card
From the Hugging Face model README
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")
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Nov 20, 2023
- Updated
- Nov 22, 2023