Image Classification
Transformers
TensorBoard
Safetensors
timm_wrapper
vision
Generated from Trainer
Instructions to use qubvel-hf/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qubvel-hf/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="qubvel-hf/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("qubvel-hf/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("qubvel-hf/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 20.0, | |
| "total_flos": 7.939121542823117e+17, | |
| "train_loss": 0.8216404274793772, | |
| "train_runtime": 338.1702, | |
| "train_samples_per_second": 61.153, | |
| "train_steps_per_second": 7.688 | |
| } |