|
--- |
|
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. |
|
|
