Text Classification
Transformers
Safetensors
English
roberta
text-to-SQL
SQL
code-generation
NLQ-to-SQL
text2SQL
Security
Vulnerability detection
text-embeddings-inference
Instructions to use salmane11/SQLQueryShield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salmane11/SQLQueryShield with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="salmane11/SQLQueryShield")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("salmane11/SQLQueryShield") model = AutoModelForSequenceClassification.from_pretrained("salmane11/SQLQueryShield", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from salmane11/SQLQueryShield: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/salmane11/SQLQueryShield/resolve/main/model.safetensors
- Command line
-
hf download hf://salmane11/SQLQueryShield/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/salmane11/SQLQueryShield/resolve/main/model.safetensors
499 MB
- Xet hash:
- e019d6d5d556dfe0ab6287ecb19c7c8bf41790f56906f29c0b40ee3053535eac
- Size of remote file:
- 499 MB
- SHA256:
- 0ea8351f7cfb71b5a676d3af6faf05eeac343e8500e859e08ed2471cbbc25c89
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