Feature Extraction
Transformers
static_canary
ctf
model-scanning
supply-chain-canary
static-analysis
custom_code
Instructions to use WWTCyberLab/static-canary-pt-loader-risk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WWTCyberLab/static-canary-pt-loader-risk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="WWTCyberLab/static-canary-pt-loader-risk", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WWTCyberLab/static-canary-pt-loader-risk", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "StaticCanaryModel" | |
| ], | |
| "auto_map": { | |
| "AutoModel": "modeling_static_canary.StaticCanaryModel" | |
| }, | |
| "canary_token": "CTF_MODEL_CANARY", | |
| "model_type": "static_canary", | |
| "repo_id": "WWTCyberLab/static-canary-pt-loader-risk", | |
| "static_only": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "ctf-static-fixture" | |
| } | |