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:
- 2e7b5d4bf66d1f78c2a5ad6685ea52b86c28148dead21995f06746742efcccdd
- Size of remote file:
- 438 MB
- SHA256:
- 113b8fe68bb34fe15352d4029ebc2647feac5e50161a57b89eb59e67511c5b13
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