| --- |
| 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](https://github.com/urchade/GLiNER) model using [BERT Tiny](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) as the base model with [urchade/synthetic-pii-ner-mistral-v1](https://huggingface.co/datasets/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. |
|
|
