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")# pip install -U transformers accelerate # 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 tokenizer.json from temsa/OpenMed-PPSN-mLiteClinical-v1: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/temsa/OpenMed-PPSN-mLiteClinical-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://temsa/OpenMed-PPSN-mLiteClinical-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/temsa/OpenMed-PPSN-mLiteClinical-v1/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.