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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
c75629d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:86a12e4e247d11be72170fa3463903023f465abc92ec1e4bda1073871709963e
size 1661939254
|