Instructions to use chun061205/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chun061205/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chun061205/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("chun061205/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("chun061205/vit-base-beans") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "total_flos": 4.006371770595533e+17, | |
| "train_loss": 0.21960490552278666, | |
| "train_runtime": 192.2421, | |
| "train_samples_per_second": 26.893, | |
| "train_steps_per_second": 3.381 | |
| } |