Instructions to use RyanStudio/Mezzo-Content-Guard-v1.1-Nano-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyanStudio/Mezzo-Content-Guard-v1.1-Nano-Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RyanStudio/Mezzo-Content-Guard-v1.1-Nano-Preview")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RyanStudio/Mezzo-Content-Guard-v1.1-Nano-Preview") model = AutoModelForSequenceClassification.from_pretrained("RyanStudio/Mezzo-Content-Guard-v1.1-Nano-Preview") - Notebooks
- Google Colab
- Kaggle
Mezzo Content Guard v1.1-Nano-Preview
Trained using the same dataset as the Mezzo Content Guard v1 Series, but with the Ettin-Encoder series models
This is a preview model and may not be as suitable for production environments
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Model tree for RyanStudio/Mezzo-Content-Guard-v1.1-Nano-Preview
Base model
jhu-clsp/ettin-encoder-17m