Token Classification
Transformers
ONNX
Safetensors
English
Irish
distilbert
pii
de-identification
ireland
irish
gaelic
diffusion-style
denoising
ppsn
eircode
int8
dynamic-quantization
cpu
Eval Results (legacy)
Instructions to use temsa/IrishCore-DiffMask-135M-v1-rc2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/IrishCore-DiffMask-135M-v1-rc2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/IrishCore-DiffMask-135M-v1-rc2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc2") model = AutoModel.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc2") - Notebooks
- Google Colab
- Kaggle
| IrishCore-DiffMask-135M-v1-rc2 | |
| This release is derived from: | |
| - OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1 (Apache-2.0) | |
| Training and evaluation used for this derivative included: | |
| - temsa/OpenMed-Irish-CorePII-TrainMix-v1 | |
| - temsa/OpenMed-Irish-PPSN-Eircode-Spec-v1 | |
| - joelniklaus/mapa (CC-BY-4.0) | |
| - gretelai/synthetic_pii_finance_multilingual (Apache-2.0) | |
| Additional local synthetic hardening and replay were used during model selection. | |
| Please review upstream licenses and dataset cards before redistributing derivative datasets. | |