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-rc5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/IrishCore-DiffMask-135M-v1-rc5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/IrishCore-DiffMask-135M-v1-rc5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc5") model = AutoModel.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e794f05f3b19c4a9816fcdd02e001d848eaab02dc7dbd993a3e94b871c25decd
- Size of remote file:
- 412 MB
- SHA256:
- b6b46a1814a7bb6040d29097f4c2bc9fd74dd88294081c22a6273c9be81805e4
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