Text Classification
Transformers
Safetensors
English
deberta-v2
secret-detection
secrets
security
cybersecurity
devsecops
sast
code-security
code-analysis
supply-chain-security
pre-commit
ci-cd
github-actions
password-detection
api-key-detection
token-detection
credential-detection
secure-coding
deberta
deberta-v3
binary-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use hypn05/secrets-sentinel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hypn05/secrets-sentinel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hypn05/secrets-sentinel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hypn05/secrets-sentinel") model = AutoModelForSequenceClassification.from_pretrained("hypn05/secrets-sentinel") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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