Token Classification
Transformers
ONNX
Safetensors
English
Irish
distilbert
pii
de-identification
ireland
irish
gaelic
diffusion-style
denoising
ppsn
eircode
int8
dynamic-quantization
cpu
Eval Results (legacy)
Instructions to use temsa/IrishCore-DiffMask-135M-v1-rc6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/IrishCore-DiffMask-135M-v1-rc6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/IrishCore-DiffMask-135M-v1-rc6")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc6") model = AutoModel.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e603940950ef898be203cd1c329c3c8187b0f90992df6e4bb5cca6ec06bf1e2
- Size of remote file:
- 539 MB
- SHA256:
- 50d5c48025ce05955cce8a480ce09b1051e55a363a58d73b124b89ff90774688
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