Instructions to use NeuML/gliner-bert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use NeuML/gliner-bert-tiny with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("NeuML/gliner-bert-tiny") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
language:
- en
- fr
- de
- es
- pt
- it
library_name: gliner
pipeline_tag: token-classification
datasets:
- urchade/synthetic-pii-ner-mistral-v1
Model Card for GLiNER BERT Tiny
GLiNER model using BERT Tiny as the base model with urchade/synthetic-pii-ner-mistral-v1 as the training dataset.
This model is primarily designed for unit tests in limited compute environments such as GitHub Actions. But it does work to an extent for basic use cases.