Text Classification
Transformers
Safetensors
English
roberta
security
prompt
cyber-security
llm-security
prompt-injection
sql-injection
text-embeddings-inference
Instructions to use edaerer/promptwaf-sql-injection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edaerer/promptwaf-sql-injection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edaerer/promptwaf-sql-injection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edaerer/promptwaf-sql-injection") model = AutoModelForSequenceClassification.from_pretrained("edaerer/promptwaf-sql-injection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f7b52c53d7435b6b75e5071f78420505b6ae92c9327ae006fe80c2b64eefe9f
- Size of remote file:
- 499 MB
- SHA256:
- 72016cbbcc8123bec4bd0970fbbe722a0d4692c5c7de479f3638233e0cfed666
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