Instructions to use DuoGuard/DuoGuard-1B-Llama-3.2-transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DuoGuard/DuoGuard-1B-Llama-3.2-transfer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DuoGuard/DuoGuard-1B-Llama-3.2-transfer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DuoGuard/DuoGuard-1B-Llama-3.2-transfer") model = AutoModelForSequenceClassification.from_pretrained("DuoGuard/DuoGuard-1B-Llama-3.2-transfer") - Notebooks
- Google Colab
- Kaggle
Add link to Github repository
#1
by nielsr HF Staff - opened
This PR adds a link to the Github repository, enabling easier discovery of the code used to train and evaluate this model.
ydeng9 changed pull request status to merged