Instructions to use suncy13/graysacleAugmentedFoot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suncy13/graysacleAugmentedFoot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="suncy13/graysacleAugmentedFoot") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("suncy13/graysacleAugmentedFoot") model = AutoModelForImageClassification.from_pretrained("suncy13/graysacleAugmentedFoot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 5
11e6ff5 -
Training in progress, epoch 4
3374fb0 -
Training in progress, epoch 3
30cbc29 -
Training in progress, epoch 2
f66a5a6 -
Training in progress, epoch 1
202e35e -
Training in progress, epoch 10
402695a -
Training in progress, epoch 8
51e77d3 -
Training in progress, epoch 6
c7b7495 -
Training in progress, epoch 5
7b72db3 -
Training in progress, epoch 3
90c4226 -
Training in progress, epoch 1
d727ec4 -
initial commit
a9b394c