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
File size: 376 Bytes
0086dde | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | [project]
name = "irishcore-diffmask"
version = "0.1.0"
description = "IrishCore DiffMask token-span release with dynamic q8 ONNX export"
requires-python = ">=3.10"
readme = "README.md"
license = { text = "Apache-2.0" }
dependencies = [
"transformers>=4.41.0",
"torch",
"numpy>=1.26.0",
"onnxruntime>=1.20.0",
"huggingface_hub>=0.36.0",
]
[tool.uv]
package = false
|