Token Classification
Transformers
Safetensors
English
Irish
deberta-v2
pii
healthcare
de-identification
ireland
ppsn
Eval Results (legacy)
Instructions to use temsa/OpenMed-PPSN-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/OpenMed-PPSN-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/OpenMed-PPSN-v5")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("temsa/OpenMed-PPSN-v5") model = AutoModelForTokenClassification.from_pretrained("temsa/OpenMed-PPSN-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b6423e4665ca54c45db8acbfb6c0e7fa31732d59287ed86b4a7c17ee0d60203
- Size of remote file:
- 5.2 kB
- SHA256:
- d3df18baef54d869c826d5b203146a92fd95cf4b0ff0b64cfb4717de3ff936c7
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