Instructions to use initial01/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use initial01/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="initial01/vit-base-beans") 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("initial01/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("initial01/vit-base-beans") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9924812030075187, | |
| "eval_loss": 0.06572757661342621, | |
| "eval_runtime": 15.8739, | |
| "eval_samples_per_second": 8.379, | |
| "eval_steps_per_second": 1.071 | |
| } |