Instructions to use SixAILab/nepa-large-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SixAILab/nepa-large-patch14-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="SixAILab/nepa-large-patch14-224")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("SixAILab/nepa-large-patch14-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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@@ -21,7 +21,7 @@ Next-Embedding Predictive Autoregression. An image is split into patches and emb
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```
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@article{six2025nepa,
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title={Next-Embedding Prediction Makes Strong Vision Learners},
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author
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journal={arXiv preprint arXiv:},
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year={2025}
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}
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```
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@article{six2025nepa,
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title={Next-Embedding Prediction Makes Strong Vision Learners},
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author={Sihan Xu and Ziqiao Ma and Wenhao Chai and Xuweiyi Chen and Weiyang Jin and Joyce Chai and Saining Xie and Stella X. Yu},
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journal={arXiv preprint arXiv:},
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year={2025}
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}
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