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
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,6 +8,7 @@ license: mit
|
|
| 8 |
base_model:
|
| 9 |
- microsoft/deberta-v3-base
|
| 10 |
pipeline_tag: text-classification
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
# Mezzo Prompt Guard Base Model Card
|
|
|
|
| 8 |
base_model:
|
| 9 |
- microsoft/deberta-v3-base
|
| 10 |
pipeline_tag: text-classification
|
| 11 |
+
new_version: RyanStudio/Mezzo-Prompt-Guard-v2-Large
|
| 12 |
---
|
| 13 |
|
| 14 |
# Mezzo Prompt Guard Base Model Card
|