Text Classification
Transformers
Safetensors
deberta-v2
prompt-injection
injection-detection
safety
text-embeddings-inference
Instructions to use RyanStudio/Mezzo-Prompt-Guard-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyanStudio/Mezzo-Prompt-Guard-Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RyanStudio/Mezzo-Prompt-Guard-Small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RyanStudio/Mezzo-Prompt-Guard-Small") model = AutoModelForSequenceClassification.from_pretrained("RyanStudio/Mezzo-Prompt-Guard-Small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec5f8ab1e86c1068d2fcff1f67d6ae26cf928c04a1fddda890b2368b1bd71578
- Size of remote file:
- 284 MB
- SHA256:
- 413fd333041f14c9ed9ccbf700b744bae858d54851db7d8a4108eb840546ef57
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