Instructions to use aalonso-developer/vit-base-clothing-leafs-example-full-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aalonso-developer/vit-base-clothing-leafs-example-full-simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aalonso-developer/vit-base-clothing-leafs-example-full-simple") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("aalonso-developer/vit-base-clothing-leafs-example-full-simple") model = AutoModelForImageClassification.from_pretrained("aalonso-developer/vit-base-clothing-leafs-example-full-simple") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.0, | |
| "train_loss": 0.9035214643197474, | |
| "train_runtime": 13914.0149, | |
| "train_samples_per_second": 66.516, | |
| "train_steps_per_second": 2.079 | |
| } |