Text Classification
Transformers
Safetensors
English
bert
text-to-SQL
SQL
code-generation
NLQ-to-SQL
text2SQL
Security
Vulnerability detection
text-embeddings-inference
Instructions to use salmane11/SQLPromptShield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salmane11/SQLPromptShield with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="salmane11/SQLPromptShield")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("salmane11/SQLPromptShield") model = AutoModelForSequenceClassification.from_pretrained("salmane11/SQLPromptShield") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41395cde9907b1ee348d582aa81c48e5fd7c102a658c76cab55f44e64170deb4
- Size of remote file:
- 5.05 kB
- SHA256:
- e740460f21dd5dbd89335571cd84dbe0dd7ba293058e1df11e8b3e1299dc8d66
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