Instructions to use SnowCharmQ/DEP-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SnowCharmQ/DEP-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SnowCharmQ/DEP-model") model = AutoModel.from_pretrained("SnowCharmQ/DEP-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| tags: [] | |
| # Latent Inter-User Difference Modeling for LLM Personalization | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| The model is used in our [DEP](https://arxiv.org/abs/2507.20849) method. | |