Instructions to use aryanmagoon/ViT_ImageNette with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use aryanmagoon/ViT_ImageNette with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("aryanmagoon/ViT_ImageNette", set_active=True) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update Readme
Verified signatureStandard ViT from (https://huggingface.co/google/vit-base-patch16-224-in21k) fine-tuned on ImageNette0581f8a -
Create README.md
Verified signature59293cb -
Training in progress, step 2000
Verified signaturedf1acd5 -
Training in progress, step 1500
Verified signature3f42a00 -
Training in progress, step 1000
Verified signature84c10ba -
Training in progress, step 500
Verified signaturedbe65a8 -
Training in progress, step 1000
Verified signature21895e3
-
Training in progress, step 500
Verified signature64c7eac -
Training in progress, step 500
Verified signature51ba25c
-
initial commit
Verified signaturefacb1f5