Text Classification
setfit
Safetensors
sentence-transformers
English
bert
code-security
dlp
secret-detection
vulnerability-detection
Eval Results (legacy)
text-embeddings-inference
Instructions to use spidercob/code-risk-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use spidercob/code-risk-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("spidercob/code-risk-classifier") - sentence-transformers
How to use spidercob/code-risk-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("spidercob/code-risk-classifier") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "normalize_embeddings": false, | |
| "labels": [ | |
| "REAL_SECRET", | |
| "VULNERABLE_LOGIC", | |
| "TEST_MOCK", | |
| "SAFE_CODE" | |
| ] | |
| } |