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:
- f80443689bf33660077090af2ab14737b37c900e5de136b6eefb9a9f5413049f
- Size of remote file:
- 5.43 kB
- SHA256:
- 2e96da1b941d09e353179ac92fc740f051ed0020544c169245af30caa48f4a7f
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