Token Classification
Transformers
Safetensors
English
Irish
distilbert
pii
healthcare
de-identification
ireland
ppsn
legacy
Instructions to use temsa/OpenMed-PPSN-mLiteClinical-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/OpenMed-PPSN-mLiteClinical-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/OpenMed-PPSN-mLiteClinical-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("temsa/OpenMed-PPSN-mLiteClinical-v1") model = AutoModelForTokenClassification.from_pretrained("temsa/OpenMed-PPSN-mLiteClinical-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pyproject.toml from temsa/OpenMed-PPSN-mLiteClinical-v1: direct link, hf CLI and curl.
- Browser
- Download file 366 Bytes
-
https://huggingface.co/temsa/OpenMed-PPSN-mLiteClinical-v1/resolve/main/pyproject.toml
- Command line
-
hf download hf://temsa/OpenMed-PPSN-mLiteClinical-v1/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/temsa/OpenMed-PPSN-mLiteClinical-v1/resolve/main/pyproject.toml
366 Bytes
| [project] | |
| name = "openmed-ppsn-mliteclinical-v1-legacy" | |
| version = "1.0.1" | |
| description = "Legacy alias for the OpenMed mLiteClinical Irish PPSN release; prefer the canonical repo" | |
| requires-python = ">=3.10" | |
| readme = "README.md" | |
| license = { text = "Apache-2.0" } | |
| dependencies = [ | |
| "transformers>=4.41.0", | |
| "torch", | |
| "regex>=2024.5.15", | |
| ] | |
| [tool.uv] | |
| package = false | |