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-rc3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/IrishCore-DiffMask-135M-v1-rc3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/IrishCore-DiffMask-135M-v1-rc3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc3") model = AutoModel.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc3") - Notebooks
- Google Colab
- Kaggle
| { | |
| "source_dir": "onnx/", | |
| "input_model": "onnx/model.onnx", | |
| "preprocessed_input_model": "onnx/model.preprocessed.onnx", | |
| "output_model": "onnx/model_quantized.onnx", | |
| "weight_type": "qint8", | |
| "per_channel": true, | |
| "reduce_range": false, | |
| "preprocess_applied": true, | |
| "op_types": [ | |
| "MatMul", | |
| "Gemm", | |
| "Attention" | |
| ], | |
| "copied_assets": [ | |
| "onnx/model.onnx", | |
| "onnx_export.json", | |
| "config.json", | |
| "special_tokens_map.json", | |
| "tokenizer.json", | |
| "tokenizer_config.json", | |
| "vocab.txt" | |
| ], | |
| "format": "onnx_dynamic_quantized", | |
| "task": "token-classification" | |
| } | |