Text Classification
Transformers
Safetensors
deberta-v2
prompt-injection
injection-detection
safety
text-embeddings-inference
Instructions to use RyanStudio/Mezzo-Prompt-Guard-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyanStudio/Mezzo-Prompt-Guard-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RyanStudio/Mezzo-Prompt-Guard-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RyanStudio/Mezzo-Prompt-Guard-Base") model = AutoModelForSequenceClassification.from_pretrained("RyanStudio/Mezzo-Prompt-Guard-Base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f58c56440604d48f6e43295e6bd33f56d437a77403427491bceebf6e901778db
- Size of remote file:
- 369 MB
- SHA256:
- d0f9ddcae08ee40ba301499017eb6047583bebbe10ded93317a3c7bd9ed1bd48
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