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
Commit History
-
Update README.md
Verified signature780e319
-
Add pipeline tag (#1)
Verified signature- Add pipeline tag (2615338ef3f3988e995470b709f3a9d1350ddaac) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>6b609fa
-
Update README.md
Verified signaturef31611e
-
Update README.md
Verified signature231503f -
Update README.md
Verified signature9e8f9a1 -
Update README.md
Verified signature671b79a
-
Update README.md
Verified signaturee8fdfff
-
Upload processor
Verified signature65fb737 -
Upload ViTNepaForPreTraining
Verified signaturef2c5245 -
initial commit
Verified signature748c415