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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval/q8_runtime_profile_source.json from temsa/IrishCore-DiffMask-135M-v1-rc3: direct link, hf CLI and curl.
- Browser
- Download file 666 Bytes
-
https://huggingface.co/temsa/IrishCore-DiffMask-135M-v1-rc3/resolve/main/eval/q8_runtime_profile_source.json
- Command line
-
hf download hf://temsa/IrishCore-DiffMask-135M-v1-rc3/eval/q8_runtime_profile_source.json
-
curl -L -o q8_runtime_profile_source.json https://huggingface.co/temsa/IrishCore-DiffMask-135M-v1-rc3/resolve/main/eval/q8_runtime_profile_source.json
666 Bytes
| { | |
| "model": "temsa/IrishCore-DiffMask-135M-v1-rc3#onnx_q8", | |
| "input": "eval/runtime_profile_source.jsonl", | |
| "loader_type": "token_span_onnx_q8", | |
| "examples": 3223, | |
| "min_score": 0.5, | |
| "iou_threshold": 0.5, | |
| "elapsed_seconds": 69.83467051002663, | |
| "examples_per_second": 46.15186090893423, | |
| "overall": { | |
| "precision": 0.6230769230769231, | |
| "recall": 0.18268959684240202, | |
| "f1": 0.28253760627861346, | |
| "tp": 648, | |
| "fp": 392, | |
| "fn": 2899 | |
| }, | |
| "by_label": { | |
| "PPSN": { | |
| "precision": 0.8223350253807107, | |
| "recall": 0.18268959684240202, | |
| "f1": 0.29896193771626295, | |
| "tp": 648, | |
| "fp": 140, | |
| "fn": 2899 | |
| } | |
| } | |
| } | |