Instructions to use jingyq1/arrag_faid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jingyq1/arrag_faid with Transformers:
# Load model directly from transformers import MultiModalityCausalLM model = MultiModalityCausalLM.from_pretrained("jingyq1/arrag_faid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add model card
#1
by nielsr HF Staff - opened
This PR adds a model card, linking it to the paper AR-RAG: Autoregressive Retrieval Augmentation for Image Generation.
It also adds the pipeline tag and library_name in the metadata.
jingyq1 changed pull request status to merged