Instructions to use SixAILab/nepa-base-patch14-224-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SixAILab/nepa-base-patch14-224-sft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SixAILab/nepa-base-patch14-224-sft") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import ViTNepaForImageClassification model = ViTNepaForImageClassification.from_pretrained("SixAILab/nepa-base-patch14-224-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add image classification pipeline tag, GitHub link, and update project page URL
#1
by nielsr HF Staff - opened
README.md
CHANGED
|
@@ -1,16 +1,19 @@
|
|
| 1 |
---
|
| 2 |
-
library_name: transformers
|
| 3 |
-
license: apache-2.0
|
| 4 |
-
datasets:
|
| 5 |
-
- ILSVRC/imagenet-1k
|
| 6 |
base_model:
|
| 7 |
- SixAILab/nepa-base-patch14-224
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
|
|
|
| 9 |
# NEPA: Next-Embedding Prediction Makes Strong Vision Learners
|
| 10 |
|
| 11 |
[](https://arxiv.org/abs/2512.16922)
|
| 12 |
-
[](https://sihanxu.
|
| 13 |
[](https://huggingface.co/collections/SixAILab/nepa)
|
|
|
|
| 14 |
|
| 15 |
This is a PyTorch/GPU re-implementation of Next-Embedding Prediction Makes Strong Vision Learners.
|
| 16 |
|
|
|
|
| 1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
base_model:
|
| 3 |
- SixAILab/nepa-base-patch14-224
|
| 4 |
+
datasets:
|
| 5 |
+
- ILSVRC/imagenet-1k
|
| 6 |
+
library_name: transformers
|
| 7 |
+
license: apache-2.0
|
| 8 |
+
pipeline_tag: image-classification
|
| 9 |
---
|
| 10 |
+
|
| 11 |
# NEPA: Next-Embedding Prediction Makes Strong Vision Learners
|
| 12 |
|
| 13 |
[](https://arxiv.org/abs/2512.16922)
|
| 14 |
+
[](https://sihanxu.me/nepa)
|
| 15 |
[](https://huggingface.co/collections/SixAILab/nepa)
|
| 16 |
+
[](https://github.com/SihanXU/nepa)
|
| 17 |
|
| 18 |
This is a PyTorch/GPU re-implementation of Next-Embedding Prediction Makes Strong Vision Learners.
|
| 19 |
|