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
- Xet hash:
- d1350c57a7c59985fa53c09811e72a5770d605f9ea6512b1fc52574101cf40c5
- Size of remote file:
- 13.2 kB
- SHA256:
- 7e9f45b9e642972266844fc03150c434167110c84d54306ba7119d5b0fea50fc
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