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
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- injection-detection
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- safety
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license: mit
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datasets:
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- RyanStudio/Mezzo-Prompt-Guard-Datasets
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base_model:
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- microsoft/deberta-v3-base
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pipeline_tag: text-classification
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- injection-detection
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- safety
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license: mit
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base_model:
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- microsoft/deberta-v3-base
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pipeline_tag: text-classification
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