Token Classification
Transformers
ONNX
Safetensors
English
Irish
distilbert
pii
de-identification
ireland
ppsn
eircode
finance
passport
phone-number
multilingual
Eval Results (legacy)
Instructions to use temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1") model = AutoModelForTokenClassification.from_pretrained("temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pyproject.toml from temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1: direct link, hf CLI and curl.
- Browser
- Download file 420 Bytes
-
https://huggingface.co/temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1/resolve/main/pyproject.toml
- Command line
-
hf download hf://temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1/resolve/main/pyproject.toml
420 Bytes
| [project] | |
| name = "openmed-mliteclinical-irish-core-pii" | |
| version = "0.1.0" | |
| description = "Irish core PII token-classification release for OpenMed mLiteClinical" | |
| requires-python = ">=3.10" | |
| readme = "README.md" | |
| license = { text = "Apache-2.0" } | |
| dependencies = [ | |
| "transformers>=4.41.0", | |
| "torch", | |
| "numpy>=1.26.0", | |
| "regex>=2024.5.15", | |
| "onnxruntime>=1.20.0", | |
| "huggingface_hub>=0.36.0", | |
| ] | |
| [tool.uv] | |
| package = false | |