Text Classification
Transformers
Safetensors
English
lfm2_vl
feature-extraction
decision-model
typed-decisions
system-one
shell
guardrail
command-risk
lfm2
liquid
lora
custom_code
Eval Results (legacy)
Instructions to use yannelli/d1-3b-cli-command-risk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yannelli/d1-3b-cli-command-risk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yannelli/d1-3b-cli-command-risk", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("yannelli/d1-3b-cli-command-risk", trust_remote_code=True) model = AutoModel.from_pretrained("yannelli/d1-3b-cli-command-risk", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download temperatures.json from yannelli/d1-3b-cli-command-risk: direct link, hf CLI and curl.
- Browser
- Download file 693 Bytes
-
https://huggingface.co/yannelli/d1-3b-cli-command-risk/resolve/main/temperatures.json
- Command line
-
hf download hf://yannelli/d1-3b-cli-command-risk/temperatures.json
-
curl -L -o temperatures.json https://huggingface.co/yannelli/d1-3b-cli-command-risk/resolve/main/temperatures.json
693 Bytes
| { | |
| "fitted_on": "yannelli/cli-command-risk decisions built by training/build_cli_decisions.py, validation split (472 cases)", | |
| "apply": "p -> softmax(log(p) / T), per question", | |
| "temperatures": { | |
| "risk_level": 2.246, | |
| "risky": 2.261, | |
| "data_destruction": 1.677, | |
| "device_overwrite": 2.318, | |
| "overbroad_permissions": 1.796, | |
| "privilege_escalation": 2.398, | |
| "remote_code_execution": 0.236, | |
| "unsafe_download_exec": 0.204, | |
| "resource_exhaustion": 0.071, | |
| "credential_exposure": 0.068, | |
| "irreversible_config": 0.112, | |
| "history_log_tampering": 1.361, | |
| "network_disruption": 0.196, | |
| "signal_kill": 0.136, | |
| "shell_footgun": 2.116, | |
| "reversible": 2.536, | |
| "requires_root": 1.962 | |
| } | |
| } |