Instructions to use nyu-visionx/webssl300m_decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-visionx/webssl300m_decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="nyu-visionx/webssl300m_decoder")# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("nyu-visionx/webssl300m_decoder") model = AutoModelForPreTraining.from_pretrained("nyu-visionx/webssl300m_decoder") - Notebooks
- Google Colab
- Kaggle
Add model card for Scale-RAE
#1
by nielsr HF Staff - opened
Hi, I'm Niels from the Hugging Face community team. This PR adds a model card for the Scale-RAE artifact, including:
- Metadata for
library_name,license, andpipeline_tag. - Links to the research paper, project page, and official GitHub repository.
- A brief description of the model based on the paper.
- The BibTeX citation for the work.
bytetriper changed pull request status to merged