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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("salmane11/SQLPromptShield") model = AutoModelForSequenceClassification.from_pretrained("salmane11/SQLPromptShield", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from salmane11/SQLPromptShield: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/salmane11/SQLPromptShield/resolve/559bb51a9404d8ffbdd9ed1390da683de479ec41/tokenizer.json
- Command line
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hf download hf://salmane11/SQLPromptShield@559bb51a9404d8ffbdd9ed1390da683de479ec41/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/salmane11/SQLPromptShield/resolve/559bb51a9404d8ffbdd9ed1390da683de479ec41/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.