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
- Xet hash:
- 2f9c10092cab87b2fca41011ccec190c0107c0146f621d52dc9159b47c5c1da9
- Size of remote file:
- 171 MB
- SHA256:
- 7c8b3be40ee65c95dd89e79dea11a85685d1ccdb5815b97be491d68b8f6c573b
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