Token Classification
Transformers
ONNX
Safetensors
English
Irish
distilbert
pii
de-identification
ireland
irish
gaelic
ppsn
eircode
passport
phone-number
iban
int8
Instructions to use temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7") model = AutoModelForTokenClassification.from_pretrained("temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| [project] | |
| name = "openmed-irish-core-pii" | |
| version = "0.2.0rc7" | |
| description = "OpenMed Irish core PII token-classification release with a spec-driven scanner" | |
| requires-python = ">=3.10" | |
| readme = "README.md" | |
| license = { text = "Apache-2.0" } | |
| dependencies = [ | |
| "transformers>=4.41.0", | |
| "torch", | |
| "numpy>=1.26.0", | |
| "onnxruntime>=1.20.0", | |
| "huggingface_hub>=0.36.0", | |
| "pyyaml>=6.0", | |
| ] | |
| [tool.uv] | |
| package = false | |