Text Classification
Laya
ONNX
Safetensors
English
German
prompt-injection
data-exfiltration
llm-security
agent-security
system-one
multilingual
Instructions to use TextCortex/laya-cybersec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use TextCortex/laya-cybersec with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download onnx/validation.json from TextCortex/laya-cybersec: direct link, hf CLI and curl.
- Browser
- Download file 556 Bytes
-
https://huggingface.co/TextCortex/laya-cybersec/resolve/main/onnx/validation.json
- Command line
-
hf download hf://TextCortex/laya-cybersec/onnx/validation.json
-
curl -L -o validation.json https://huggingface.co/TextCortex/laya-cybersec/resolve/main/onnx/validation.json
556 Bytes
| { | |
| "type": "r2a_export_parity_smoke", | |
| "passed": true, | |
| "synthetic_documents": 12, | |
| "probabilities_compared": 56, | |
| "max_absolute_probability_difference": 0.0, | |
| "probability_precision": "Laya public API rounded outputs", | |
| "max_absolute_unrounded_logit_difference": 2.47955322265625e-05, | |
| "noul_decision_disagreements_at_095": 0, | |
| "max_sequence_tokens": 1024, | |
| "batch_sizes": [ | |
| 1, | |
| 2, | |
| 4 | |
| ], | |
| "question_types": [ | |
| "noul", | |
| "choice" | |
| ], | |
| "scope": "Synthetic EN/DE export smoke test; not a benchmark accuracy or latency study." | |
| } | |