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-rc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/IrishCore-DiffMask-135M-v1-rc4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/IrishCore-DiffMask-135M-v1-rc4")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc4") model = AutoModel.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from temsa/IrishCore-DiffMask-135M-v1-rc4: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/temsa/IrishCore-DiffMask-135M-v1-rc4/resolve/main/tokenizer.json
- Command line
-
hf download hf://temsa/IrishCore-DiffMask-135M-v1-rc4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/temsa/IrishCore-DiffMask-135M-v1-rc4/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.