Token Classification
Transformers
ONNX
Safetensors
English
Irish
distilbert
pii
de-identification
ireland
irish
gaelic
global-pointer
span-extraction
ppsn
eircode
int8
dynamic-quantization
cpu
Eval Results (legacy)
Instructions to use temsa/IrishCore-GlobalPointer-135M-v1-rc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temsa/IrishCore-GlobalPointer-135M-v1-rc4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="temsa/IrishCore-GlobalPointer-135M-v1-rc4")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("temsa/IrishCore-GlobalPointer-135M-v1-rc4") model = AutoModel.from_pretrained("temsa/IrishCore-GlobalPointer-135M-v1-rc4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Benchmark Summary
Gov Chatbot Red-Team v2
| Suite | Full F1 | Full Exact F1 | Full Failures | Q8 F1 | Q8 Exact F1 | Q8 Failures |
|---|---|---|---|---|---|---|
| Gov chatbot red-team v2 | 1.0000 | 1.0000 | 0.0000 | 1.0000 | 1.0000 | 0.0000 |
| Gov chatbot gap holdout v2 | 1.0000 | 1.0000 | 0.0000 | 1.0000 | 1.0000 | 0.0000 |
ONNX q8
| Suite | F1 | Examples/s |
|---|---|---|
| Irish core | 1.0000 | 221.5743 |
| UAT exact | 1.0000 | 188.6537 |
| Fresh holdout | 0.9841 | 145.9336 |
| Hardening exact | 1.0000 | 112.4948 |
| Edge | 1.0000 | 235.2888 |
| Multilingual PPSN overall | 0.9333 | 224.6955 |
| Multilingual PPSN label-only | 1.0000 | — |
Full checkpoint
| Suite | F1 | Examples/s |
|---|---|---|
| Irish core | 1.0000 | 79.8593 |
| UAT exact | 1.0000 | 29.1305 |
| Fresh holdout | 0.9841 | 31.4254 |
| Hardening exact | 1.0000 | 26.6732 |
| Edge | 1.0000 | 52.4220 |
| Multilingual PPSN overall | 0.9333 | 89.3536 |
| Multilingual PPSN label-only | 1.0000 | — |