Text Classification
Transformers
Safetensors
Spanish
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deberta-v2
security
agent
prompt-injection
jailbreak
multilingual
robustness
lora
text-embeddings-inference
Instructions to use JMasr/balidea-safeguard-attack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JMasr/balidea-safeguard-attack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JMasr/balidea-safeguard-attack")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JMasr/balidea-safeguard-attack") model = AutoModelForSequenceClassification.from_pretrained("JMasr/balidea-safeguard-attack") - Notebooks
- Google Colab
- Kaggle
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