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:
- ce135ed547e81b84582731c5a7ebdb77156a501ae3163c046ec53a1f755e5c55
- Size of remote file:
- 438 MB
- SHA256:
- d0476a299e089fa60348eb0e2735809a39b3ef59d01fe319af67beeeb67a00f0
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