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
- Xet hash:
- 87fc7720d6687f1d63146431444686800a653054867d69b7da720a76c75c4fe5
- Size of remote file:
- 1.66 GB
- SHA256:
- 86a12e4e247d11be72170fa3463903023f465abc92ec1e4bda1073871709963e
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