Instructions to use KRAFTON/Raon-VisionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRAFTON/Raon-VisionEncoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KRAFTON/Raon-VisionEncoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KRAFTON/Raon-VisionEncoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| MIT License | |
| Copyright (c) 2012-2021 Gabriel Ilharco, Mitchell Wortsman, | |
| Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, | |
| John Miller, Hongseok Namkoong, Hannaneh Hajishirzi, Ali Farhadi, | |
| Ludwig Schmidt | |
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