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-rc3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/IrishCore-DiffMask-135M-v1-rc3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/IrishCore-DiffMask-135M-v1-rc3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc3") model = AutoModel.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 545 Bytes
85b0a00 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | IrishCore-DiffMask-135M-v1-rc3
This release is derived from:
- OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1 (Apache-2.0)
Training and evaluation data 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 sets were used during model selection.
Please review upstream licenses and dataset cards before redistributing derivative datasets.
|