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
File size: 361 Bytes
7e97a7d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"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"
}
|