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:
- c96fa7778e530553e2bcc0d4d9ae7d668f7ef90925e99effa8e6b89a62223008
- Size of remote file:
- 438 MB
- SHA256:
- 7a6f38d86052e92e48d80816d417e9ba303059512066049a2657d2a833cbe3c3
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