Text Classification
Transformers
Safetensors
deberta-v2
secrets
secret-detection
secure-codeing
Github-pipeline
deberta
cybersecurity
code-analysis
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
Commit History
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Initial upload: DeBERTa secret detection model aede3c3
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