Token Classification
Transformers
ONNX
Safetensors
English
Irish
distilbert
pii
de-identification
ireland
irish
gaelic
raw-only
ppsn
eircode
passport
phone-number
int8
dynamic-quantization
Instructions to use temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8") model = AutoModel.from_pretrained("temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8") - Notebooks
- Google Colab
- Kaggle
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