Token Classification
Transformers
ONNX
Safetensors
English
Irish
distilbert
pii
healthcare
de-identification
ireland
ppsn
irish-gaelic
Eval Results (legacy)
Instructions to use temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1") model = AutoModelForTokenClassification.from_pretrained("temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "repo_id": "temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1", | |
| "model_type": "full-token-classification", | |
| "base_model_repo": "OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1", | |
| "ppsn_decoder": "word_aligned", | |
| "ppsn_min_score": 0.4, | |
| "recommended_entrypoint": "python3 inference_word_aligned.py --text '...' --json" | |
| } | |